bluuebunny/crossref_metadata_2025_split huggingface dataset:
Current Tensions and Challenges in Mindfulness Research and Practice
Authors: Ainsworth Ben , Atkinson Melissa J. , AlBedah Eman , Duncan Sian , Groot Julia , Jacobsen Pamela , James Amanda , Jenkins Tom A. , Kylisova Katerina , Marks Elizabeth , Osborne Emma L. , Remskar Masha , Underhill Rosalia 
Published: May 2023

AbstractThe field of mindfulness practice and research has expanded over recent years and become more established in the public consciousness. In this paper we explore four key tensions for the mindfulness community to hold in awareness. These include: Mindfulness for me vs. mindfulness for others (an awareness of the loss of the spiritual and collective elements historically essential to mindfulness), Mindfulness for some vs. mindfulness for all (understanding why mindfulness may be more appealing for some more than others), The whole vs. the sum of its parts (the need to understand the mechanisms of mindfulness and still preserve its integrity), and Improving access vs. preserving fidelity (balancing modifications to address issues such as accessibility with retaining core components). Recognising such challenges is a vital aspect of ensuring that mindfulness researchers and practitioners continue to work in a way that retains authenticity and trust within this burgeoning field and helps to support engagement from a diverse range of people across the modern world.
A Systematic Review of Longitudinal Trajectories of Mental Health Problems in Children with Neurodevelopmental Disabilities
Authors: Danielsson Henrik , Imms Christine , Ivarsson Magnus , Almqvist Lena , Lundqvist Lars-Olov , King Gillian , Adams Lyngbäck Liz , Andersson Anna Karin , Arnell Susann , Arvidsson Patrik , Augustine Lilly , Brooks Rob , Eldh Maria , Engde Lisa , Engkvist Helena , Gimbler Berglund Ingalill , Green Dido , Huus Karina , Karlsson Charlotte , Lygnegård Frida , Sjödin Linda , Granlund Mats 
Published: May 2023

AbstractTo review the longitudinal trajectories – and the factors influencing their development – of mental health problems in children with neurodevelopmental disabilities. Systematic review methods were employed. Searches of six databases used keywords and MeSH terms related to children with neurodevelopmental disabilities, mental health problems, and longitudinal research. After the removal of duplicates, reviewers independently screened records for inclusion, extracted data (outcomes and influencing factors), and evaluated the risk of bias. Findings were tabulated and synthesized using graphs and a narrative. Searches identified 94,662 unique records, from which 49 publications were included. The median publication year was 2015. Children with attention deficit hyperactivity disorder were the most commonly included population in retrieved studies. In almost 50% of studies, trajectories of mental health problems changed by < 10% between the first and last time point. Despite multiple studies reporting longitudinal trajectories of mental health problems, greater conceptual clarity and consideration of the measures included in research is needed, along with the inclusion of a more diverse range of populations of children with neurodevelopmental disabilities.
Reflections on “place attachment”: perceptions of urban redevelopment in an informal neighborhood in Istanbul
Authors: İnal-Çekiç Tuba , Kozaman-Aygün Senem , Bilen Ömer 
Published: May 2023

AbstractIn the last two decades, urban redevelopment practices in informal settlements in Turkey often neglected inhabitants' spatial practices. The contradictions between conceived and lived space constitutes reactions to these spatial interventions. Against this background, this paper examines the association between place attachment and residents' attitudes toward the redevelopment project in an informally developed neighborhood. Using path and decision tree analysis of survey data, the paper explores the relationship between their attitudes towards and their attachment to the neighborhood. Our findings reveal that individuals' social and physical bonds with their neighborhood shape their attitude toward urban redevelopment. As such, this study confirms the idea that daily interactions between residents reinforce their place attachment in informal settlements where place identity compensates for the (low) quality of life. Still, our findings also demonstrate that residents' identification with the place is a more influential factor, compared to the risk of leaving the neighborhood, on the level of concern against spatial interventions.
Private renters in shared housing: investigating housing conditions and mental well-being in Australia during COVID-19
Authors: Veeroja Piret , Goodall Zoë , Guity-Zapata Nestor Agustin , Stone Wendy 
Published: May 2023

AbstractLockdowns were the major policy response to COVID-19 containment in many countries, and subsequently many people spent abnormal amounts of time at home. Research has found that housing conditions affected more peoples’ mental health during the COVID-19 crisis than prior to it, and vulnerable groups were especially affected. One group that may be particularly vulnerable is private renters in shared housing. Using a socio-economic lens, our research examined to what extent mental well-being outcomes were associated with housing conditions in shared housing under COVID-19 restrictions in Australia. Data about private renters were obtained from the Australian Rental Housing Conditions Dataset (n = 1908), collected in mid-2020 during the easing of the first lockdown restrictions. Respondents living in shared arrangements reported higher levels of worry and anxiety (8.5–13.2%) and loneliness and isolation (3.7–18.3%) compared to other household types. Binary logistic regressions showed that COVID-19-related mental and financial well-being variables were the main contributors in COVID-19-related worry/anxiety and loneliness/isolation models. Accumulated housing problems were the only housing condition measure that was significant in the worry/anxiety model. Participants who had more than two people living in a household felt 1.4 times lonelier/isolated compared to those who lived with four or more people. Males and participants who reported good mental health were less likely to feel COVID-19-related worry/anxiety and loneliness/isolation. Our analysis demonstrates the importance of measures for mental health and income during a pandemic and concludes with recommendations of support for shared housing renters during and beyond crisis events.
Bioinformatics analysis of paravertebral muscles atrophy in adult degenerative scoliosis
Authors: Rong Zhigang , Yang Zhong , Zhang Chengmin , Pu Rongxi , Chen Can , Xu Jianzhong , Luo Fei 
Published: May 2023

AbstractParavertebral muscles (PVM) act as one of the major dynamic factors to maintain human upright activities and play a remarkable role in maintaining the balance of the trunk. Adult degenerative scoliosis (ADS) has become one of the important causes of disability in the elderly population owing to the changes in spinal biomechanics, atrophy and degeneration of PVM, and imbalance of the spine. Previously, many studies focused on the physical evaluation of PVM degeneration. However, the molecular biological changes are still not completely known. In this study, we established a rat model of scoliosis and performed the proteomic analysis of the PVM of ADS. The results showed that the degree of atrophy, muscle fat deposition, and fibrosis of the PVM of rats positively correlated with the angle of scoliosis. The proteomic results showed that 177 differentially expressed proteins were present in the ADS group, which included 105 upregulated proteins and 72 downregulated proteins compared with the PVM in individuals without spinal deformities. Through the construction of a protein–protein interaction network, 18 core differentially expressed proteins were obtained, which included fibrinogen beta chain, apolipoprotein E, fibrinogen gamma chain, thrombospondin-1, integrin alpha-6, fibronectin-1, platelet factor 4, coagulation factor XIII A chain, ras-related protein Rap-1b, platelet endothelial cell adhesion molecule 1, complement C1q subcomponent subunit A, cathepsin G, myeloperoxidase, von Willebrand factor, integrin beta-1, integrin alpha-1, leukocyte surface antigen CD47, and complement C1q subcomponent subunit B. Further analysis of the Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) and immunofluorescence showed that the neutrophil extracellular traps (NETs) formation signaling pathway plays a major role in the pathogenesis of PVM degeneration in ADS. The results of the present study preliminarily laid the molecular biological foundation of PVM atrophy in ADS, which will provide a new therapeutic target for alleviating PVM atrophy and decreasing the occurrence of scoliosis.
How did the animal come to cross the road? Drawing insights on animal movement from existing roadkill data and expert knowledge
Authors: Cassimiro Isabella M. F. , Ribeiro Milton Cezar , Assis Julia C. 
Published: May 2023

Abstract
Context
Animal movement through the landscape is essential to several ecological processes, assuring genetic flow, reproductive success and population dynamics. In fragmented landscapes, species change their movement patterns according to their sensitivity to landscape cover and configuration. Increased landscape habitat loss and fragmentation affects resource distribution and habitat availability, compelling species to move more frequently through anthropized matrices.

Objectives
Our aim was to provide a new prospect for what is known about animal movement through the landscape anthropogenic matrix in the Atlantic Forest biodiversity hotspot, by analyzing the potential movement distances of several mammal, bird, reptile, and amphibian species.

Methods
We used recorded roadkills within the Brazilian Atlantic Forest as a source of information of species’ occurrence. We assumed the euclidean distance from the roadkill spot to the nearest forest fragment as the potential movement distance by different species through the anthropogenic matrix. Experts’ classification of species’ forest dependence degree, and animal movement information from the literature survey was used to analyze the variation in potential animal movement distance in these matrices.

Results
We analyzed 90 species, the majority of them being non-forest dependent (n = 64; 71%). The potential movement distances ranged from 0 to > 1500 m, and forest-dependent species presented lower mean distances (between 772 and 978 m) than non-forest dependent species (between 673 and 1015 m). The literature survey resulted in 44 articles regarding animal movement in the matrix, referred only to 22 species. No articles were found for 20 species, mainly reptiles and amphibians.

Conclusions
By comparing these values to the average distance between forest remnants in the Atlantic Forest, we expect that the distance to be traveled through the matrix to reach forest fragments may be restrictive, mainly for species with higher degree of forest dependence. Despite being descriptive, our results provide important insights on animal movement through the matrix, especially for less studied species, such as amphibians and reptiles.
Analysis and effectiveness of deeper levels of SVD on performance of hybrid DWT and SVD watermarking
Authors: Araghi Tanya Koohpayeh , Megías David 
Published: May 2023

AbstractIn this paper, an analysis on hybrid Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) for image watermarking is carried out to investigate the effect of a deeper level of the SVD on imperceptibility and robustness to resist common signal processing and geometric attacks. For this purpose, we have designed two hybrid watermarking schemes, the first one with DWT and first level of SVD, whereas, in the second scheme, the same design is employed with a second level of SVD. In this experiment, a comprehensive analysis is performed on the two designed schemes and the effect of robustness and imperceptibility is compared in the first and second levels of SVD in each DWT sub-band. Having analyzed more than 100 medical and non-medical images in standard datasets and real medical samples of patients, the experimental outcomes show a remarkable increase in both imperceptibility and robustness in the second level of SVD, in comparison to the first level. In addition, the achieved result shows that the SVD2 scheme offers the highest imperceptibility in the LL sub-band (more than 60 dB on average PSNR), with satisfactory robustness against noise attacks, but less persistence in some geometric attacks such as cropping. For the HH sub-band, strong robustness against all types of tested of attacks is obtained, though its imperceptibility is slightly lower than the achieved PSNR in the LL sub-band. In HH sub-band, an average growth of 5 dB in PSNR and 2% in NC can be observed from the second level of SVD in comparison to the first level. These results make SVD2 a good candidate for content protection, especially for medical images.
Direct limits in categories of normed vector lattices and Banach lattices
Authors: Ding Chun , de Jeu Marcel 
Published: May 2023

AbstractAfter collecting a number of results on interval and almost interval preserving linear maps and vector lattice homomorphisms, we show that direct systems in various categories of normed vector lattices and Banach lattices have direct limits, and that these coincide with direct limits of the systems in naturally associated other categories. For those categories where the general constructions do not work to establish the existence of general direct limits, we describe the basic structure of those direct limits that do exist. A direct system in the category of Banach lattices and contractive almost interval preserving vector lattice homomorphisms has a direct limit. When the Banach lattices in the system all have order continuous norms, then so does the Banach lattice in a direct limit. This is used to show that a Banach function space over a locally compact Hausdorff space has an order continuous norm when the topologies on all compact subsets are metrisable and (the images of) the continuous compactly supported functions are dense.
The structure of well-being: a single underlying factor with genetic and environmental influences
Authors: Bjørndal Ludvig Daae , Nes Ragnhild Bang , Czajkowski Nikolai , Røysamb Espen 
Published: May 2023

Abstract
Purpose
The structure of well-being has been debated for millennia. Dominant conceptualisations, such as the hedonic and eudaimonic models, emphasise different constituents of the well-being construct. Some previous studies have suggested that the underlying structure of well-being may consist of one or a few general well-being factors. We conducted three studies to advance knowledge on the structure of well-being comprising more than 21,500 individuals, including a genetically informative twin sample.

Methods
In Study 1, we used hierarchical exploratory factor analysis to identify well-being factors in a population-based sample of Norwegian adults. In Study 2, we used confirmatory factor analysis to examine the model fit of the identified factor model in an independent sample. In Study 3, we used biometric models to examine genetic and environmental influences on general well-being factors.

Results
We identified six well-being factors which all loaded on a single higher-order factor. This higher-order factor may represent a general “happiness factor”, i.e. an h-factor, akin to the p-factor in psychopathology research. The identified factor model had excellent fit in an independent sample. All well-being factors showed moderate genetic and substantial non-shared environmental influence, with heritability estimates ranging from 26% to 40%. Heritability was highest for the higher-order general happiness factor.

Conclusion
Our findings yield novel insights into the structure of well-being and genetic and environmental influences on general well-being factors, with implications for well-being and mental health research, including genetically informative studies.
Meta-Inductive Probability Aggregation
Authors: Feldbacher-Escamilla Christian J. , Schurz Gerhard 
Published: May 2023

AbstractThere is a plurality of formal constraints for aggregating probabilities of a group of individuals. Different constraints characterise different families of aggregation rules. In this paper, we focus on the families of linear and geometric opinion pooling rules which consist in linear, respectively, geometric weighted averaging of the individuals’ probabilities. For these families, it is debated which weights exactly are to be chosen. By applying the results of the theory of meta-induction, we want to provide a general rationale, namely, optimality, for choosing the weights in a success-based way by scoring rules. A major argument put forward against weighting by scoring is that these weights heavily depend on the chosen scoring rule. However, as we will show, the main condition for the optimality of meta-inductive weights is so general that it holds under most standard scoring rules, more precisely under all scoring rules that are based on a convex loss function. Therefore, whereas the exact choice of a scoring rule for weighted probability aggregation might depend on the respective purpose of such an aggregation, the epistemic rationale behind such a choice is generally valid.
Occult hepatitis C virus infection in hemodialysis patients who achieved a sustained virological response to directly acting antiviral drugs: is it a concern?
Authors: Naguib Hend , Abouelnaga Shady Fouad , Elsayed Mohamed Mamdouh 
Published: May 2023

Abstract
Purpose
Hepatitis C virus infection is a major health problem in hemodialysis patients. Occult HCV infection is defined as the presence of HCV-RNA in hepatocytes or peripheral blood mononuclear cells without the detection of HCV-RNA in the serum. We aimed to evaluate the prevalence and predictors of occult HCV infection among hemodialysis patients after treatment with direct-acting antiviral agents.

Methods
This research is a cross-sectional study that included 60 HCV patients maintained on regular HD patients who achieved 24 weeks of sustained virological response after treatment with direct-acting antiviral agents. Real-time PCR was performed to detect HCV-RNA in peripheral blood mononuclear cells.

Results
HCV-RNA was detected in peripheral blood mononuclear cells of three patients (5%). Occult HCV infection cases were treated by Interferon/ribavirin before direct-acting antiviral agents and two of them had raised pre-treatment alanine aminotransferase levels. Logistic regression analyses revealed that high pre-treatment viral load and raised pre-treatment alanine aminotransferase were associated with an increased risk of occult HCV infection with p value of 0.041 and 0.029, respectively.

Conclusions
Occult HCV infection in hemodialysis patients who achieved sustained virological response after treatment with direct-acting antiviral agents may occur, and this may necessitate dual testing for HCV in both serum and peripheral blood mononuclear cells to ensure viral clearance.

Clinical trials registration
ClinicalTrials.gov NCT04719338.
Applying simple genomic workflows to optimise practical plant translocation outcomes
Authors: Rossetto Maurizio , Bragg Jason , Brown Dianne , van der Merwe Marlien , Wilson Trevor C. , Yap Jia-Yee Samantha 
Published: May 2023

AbstractTranslocation is an important conservation tool for reducing the probability of extinction of threatened plants. It is also becoming an increasingly common management practice, as habitats are destroyed and climate change pushes more plants beyond the limits of their tolerances. Here we outline the case for informing translocations with dedicated genomic data. We begin by describing principles for using genomic and genetic approaches to enhance the efficiency and success of translocation actions. This includes ensuring that translocated populations are adaptively representative, diverse, and composed (to the greatest possible extent) of unrelated individuals. We then use two Australian case studies to illustrate how these principles have been applied in practice and in a resource-efficient way. For Prostanthera densa, we describe how genomic data have quantitatively informed complex decisions, such as whether, and how extensively, to mix individuals from spatially isolated populations in translocated populations. For Fontainea oraria, genomic data have been used during post-translocation monitoring to confirm that newly established populations incorporate and recombine the little diversity that remained in wild individuals. Overall, we illustrate how a simple workflow can support the development and planning of genomic studies and translocation activities in tandem. In order to ensure greater adoption of translocation genomic workflows, funding bodies in charge of biodiversity management and conservation must direct the necessary resources towards them.
Rethinking Portrait Matting with Privacy Preserving
Authors: Ma Sihan , Li Jizhizi , Zhang Jing , Zhang He , Tao Dacheng 
Published: May 2023

AbstractRecently, there has been an increasing concern about the privacy issue raised by identifiable information in machine learning. However, previous portrait matting methods were all based on identifiable images. To fill the gap, we present P3M-10k, which is the first large-scale anonymized benchmark for Privacy-Preserving Portrait Matting (P3M). P3M-10k consists of 10,421 high resolution face-blurred portrait images along with high-quality alpha mattes, which enables us to systematically evaluate both trimap-free and trimap-based matting methods and obtain some useful findings about model generalization ability under the privacy preserving training (PPT) setting. We also present a unified matting model dubbed P3M-Net that is compatible with both CNN and transformer backbones. To further mitigate the cross-domain performance gap issue under the PPT setting, we devise a simple yet effective Copy and Paste strategy (P3M-CP), which borrows facial information from public celebrity images and directs the network to reacquire the face context at both data and feature level. Extensive experiments on P3M-10k and public benchmarks demonstrate the superiority of P3M-Net over state-of-the-art methods and the effectiveness of P3M-CP in improving the cross-domain generalization ability, implying a great significance of P3M for future research and real-world applications. The dataset, code and models are available here (https://github.com/ViTAE-Transformer/P3M-Net).