bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self-reported Disability Among Recently Resettled Refugees in the United States: Results from the National Annual Survey of Refugees
Authors: Kaur Mehak , Kamalyan Lily , Abubaker Dania , Alheresh Rawan , Al-Rousan Tala 
Published: December 2023

AbstractThe prevalence rates and correlates of mental or physical disability among recently resettled refugees, who undergo strenuous journeys before arriving in the US, remain unknown, masking potential health disparities. Self-reported disability was measured by the 2018 Annual Survey of Refugees (ASR), and defined as having a physical, mental, or other health condition for more than 6 months that precluded one from working. Prevalence rates of self-reported disability and sample correlates were investigated using descriptive and logistic regression analyses. Of N = 4259 participating refugees in ASR (Mean Age = 28.2, SD = 17.2; 52.5% male), 2875 responded to the disability question and 21.4% reported disability. About 33.7% were born in the Middle East region, 29.5% had no formal education, and 35% had an income of less than $15,000. Age (OR = 1.06, 95% Confidence Interval (CI) [1.06,1.07], p < 0.001), region of birth (OR = 1.82, 95% CI [1.31, 2.51], p < 0.001), employment status (OR = 3.31, 95% CI [2.67, 4.11], p < 0.001), and receiving food stamps (OR = 2.09, 95% CI [1.66, 2.62], p < 0.001) were associated with self-reported disability. Disability levels among refugees recently resettled in the United States are comparable to national disability rates in the US. Our results suggest that multiple aspects of the refugee experience (i.e., demographics, socioeconomic status, contextual migration history) need to be considered to understand the risk for health outcomes. Future investigations of disabilities in diverse refugee populations over time and tailored public health interventions to mitigate potential risk factors are warranted to promote health equity.
Vindicating the verifiability criterion
Authors: Leitgeb Hannes 
Published: December 2023

AbstractThe aim of this paper is to argue for a revised and precisified version of the infamous Verifiability Criterion for the meaningfulness of declarative sentences. The argument is based on independently plausible premises concerning probabilistic confirmation and meaning as context-change potential, it is shown to be logically valid, and its ramifications for potential applications of the criterion are being discussed. Although the paper is not historical but systematic, the criterion thus vindicated will resemble the original one(s) in some important ways. At the same time, it will also be more modest insofar as meaningfulness will turn out to be relativized linguistically and probabilistically, and different choices of the linguistic and probabilistic parameters may lead to different verdicts on meaningfulness.
Ukrainian and Russian in the lexicon of Ukrainian Suržyk: reduced variation and stabilisation in central Ukraine and on the Black Sea coast
Authors: Hentschel Gerd 
Published: December 2023

AbstractThe subject of this study is the so-called “Surzhyk”, a mixed Ukrainian-Russian variety used by millions of people in Ukraine, sometimes alongside Ukrainian and, less commonly, alongside Russian. More specifically, the focus here is on the lexicon, addressing the following questions: (i) To what extent is the mixed speech lexicon influenced by Ukrainian or Russian? (ii) Does the distribution of Ukrainian or Russian lexemes reveal a reduction in variation, i.e. patterns of stabilisation? In other words, are there tendencies for one of the two competing, synonymous, or functionally equivalent Ukrainian or Russian lexemes to prevail over the other?Many Ukrainian linguists have stereotypically claimed for years that the distribution of Ukrainian and Russian elements in Surzhyk is unpredictable, spontaneous, if not chaotic. It is worth noting that these opinions are not based on comprehensive, systematic empirical evidence and largely ignore theoretical developments in the field of code-mixing.In contrast, by means of a quantitative analysis of an extensive corpus and a focus on intra-sentential code-mixing, this study demonstrates that the majority of recorded lexical Ukrainian-Russian competitions exhibit a clear fixation on one of the two expressions, resulting in a reduction in variation. In these instances, one of the two expressions prevails extensively across the entire region of Central Ukraine and the Black Sea Coast. Surzhyk is evidently evolving towards a “fused lect”. A smaller portion of the examined instances reveals such stabilisation only in certain parts of the survey area, and another equally small portion exhibits widespread variability. In general, Ukrainian and Russian lexemes are roughly balanced in quantity.
Cell wall remodeling and callose deposition during the embryogenic transition in the tree fern Cyathea delgadii Sternb.
Authors: Grzyb Małgorzata , Sujkowska-Rybkowska Marzena , Mikuła Anna 
Published: December 2023

AbstractWith the discovery in 2015 of the ability to induce somatic embryos in Cyathea delgadii, learning more about the relationship between the structure of apoplast and cell differentiation has become possible among ferns. In this study, the distribution of arabinogalactan proteins, pectins, extensins, and callose with specific epitopes recognized by monoclonal antibodies was investigated during direct somatic embryogenesis (SE) of C. delgadii. Eight antigens against the arabinogalactan proteins (JIM8, JIM13, LM2), pectins (JIM5, JIM7), extensins (JIM11, JIM12), and callose (anti-1 → 3-β-glucan) were selected. Two types of explants were analyzed, i.e. stipe fragments and internodes, which give rise to embryos of unicellular and multicellular origin, respectively. The study showed that embryogenic transition in C. delgadii is preceded by cell wall remodeling of initial explants. Dynamic changes in JIM13, JIM12, and anti-1 → 3-β-glucan localization were observed. The differences in the distribution of studied epitopes were observed between the cell walls of the epidermis and those located in the other layers of the explant. Moreover, within the somatic embryos, a stronger fluorescence of the examined antibodies was observed, mainly those reacting with arabinogalactan proteins, extensins, and callose. These results also implicated that, with the exception of the earlier appearance of callose in the stipe explants, the uni- and multicellular pathways of somatic embryo differentiation do not differ in the quality of cell wall components. The presented studies document the first time that SE in ferns can be regulated by changes in apoplast structure and they provide a basis for more detailed research.
Adaptive user interfaces in systems targeting chronic disease: a systematic literature review
Authors: Wang Wei , Khalajzadeh Hourieh , Grundy John , Madugalla Anuradha , McIntosh Jennifer , Obie Humphrey O. 
Published: December 2023

AbstracteHealth technologies have been increasingly used to foster proactive self-management skills for patients with chronic diseases. However, it is challenging to provide each user with their desired support due to the dynamic and diverse nature of the chronic disease and its impact on users. Many such eHealth applications support aspects of “adaptive user interfaces”—interfaces that change or can be changed to accommodate the user and usage context differences. To identify the state of the art in adaptive user interfaces in the field of chronic diseases, we systematically located and analysed 48 key studies in the literature with the aim of categorising the key approaches used to date and identifying limitations, gaps, and trends in research. Our data synthesis is based on the data sources used for interface adaptation, the data collection techniques used to extract the data, the adaptive mechanisms used to process the data, and the adaptive elements generated at the interface. The findings of this review will aid researchers and developers in understanding where adaptive user interface approaches can be applied and necessary considerations for employing adaptive user interfaces to different chronic disease-related eHealth applications.
MS-RAFT+: High Resolution Multi-Scale RAFT
Authors: Jahedi Azin , Luz Maximilian , Rivinius Marc , Mehl Lukas , Bruhn Andrés 
Published: December 2023

AbstractHierarchical concepts have proven useful in many classical and learning-based optical flow methods regarding both accuracy and robustness. In this paper we show that such concepts are still useful in the context of recent neural networks that follow RAFT’s paradigm refraining from hierarchical strategies by relying on recurrent updates based on a single-scale all-pairs transform. To this end, we introduce MS-RAFT+: a novel recurrent multi-scale architecture based on RAFT that unifies several successful hierarchical concepts. It employs a coarse-to-fine estimation to enable the use of finer resolutions by useful initializations from coarser scales. Moreover, it relies on RAFT’s correlation pyramid that allows to consider non-local cost information during the matching process. Furthermore, it makes use of advanced multi-scale features that incorporate high-level information from coarser scales. And finally, our method is trained subject to a sample-wise robust multi-scale multi-iteration loss that closely supervises each iteration on each scale, while allowing to discard particularly difficult samples. In combination with an appropriate mixed-dataset training strategy, our method performs favorably. It not only yields highly accurate results on the four major benchmarks (KITTI 2015, MPI Sintel, Middlebury and VIPER), it also allows to achieve these results with a single model and a single parameter setting. Our trained model and code are available at https://github.com/cv-stuttgart/MS_RAFT_plus.
Detection of Intestinal Inflammation by Vascular Adhesion Protein-1-Targeted [68Ga]Ga-DOTA-Siglec-9 Positron Emission Tomography in Murine Models of Inflammatory Bowel Disease
Authors: Bhowmik Achol A. , Heikkilä Taina R. H. , Polari Lauri , Virta Jenni , Liljenbäck Heidi , Moisio Olli , Li Xiang-Guo , Viitanen Riikka , Jalkanen Sirpa , Koffert Jukka , Toivola Diana M. , Roivainen Anne 
Published: December 2023

Abstract
Purpose
Inflammatory bowel disease (IBD) can be imaged with positron emission tomography (PET), but existing PET radiopharmaceuticals have limited diagnostic accuracy. Vascular adhesion protein-1 (VAP-1) is an endothelial cell surface molecule that controls leukocyte extravasation into sites of inflammation. However, the role of inflammation-induced VAP-1 expression in IBD is still unclear. Therefore, this study investigated the utility of VAP-1-targeted [68Ga]Ga-DOTA-Siglec-9 positron emission tomography/computed tomography (PET/CT) for assessing inflammation in two mouse models of IBD.

Procedures
Studies were performed using K8−/− mice that develop a chronic colitis-phenotype and C57Bl/6NCrl mice with acute intestinal inflammation chemically-induced using 2.5% dextran sodium sulfate (DSS) in drinking water. In both diseased and control mice, uptake of the VAP-1-targeting peptide [68Ga]Ga-DOTA-Siglec-9 was assessed in intestinal regions of interest using in vivo PET/CT, after which ex vivo gamma counting, digital autoradiography, and histopathological analyses were performed. Immunofluorescence staining was performed to determine VAP-1-expression in the intestine, including in samples from patients with ulcerative colitis.

Results
Intestinal inflammation could be visualized by [68Ga]Ga-DOTA-Siglec-9 PET/CT in two murine models of IBD. In both models, the in vivo PET/CT and ex vivo studies of [68Ga]Ga-DOTA-Siglec-9 uptake were significantly higher than in control mice. The in vivo uptake was increased on average 1.4-fold in the DSS model and 2.0-fold in the K8−/− model. Immunofluorescence staining revealed strong expression of VAP-1 in the inflamed intestines of both mice and patients.

Conclusions
This study suggests that the VAP-1-targeting [68Ga]Ga-DOTA-Siglec-9 PET tracer is a promising tool for non-invasive imaging of intestinal inflammation. Future studies in patients with IBD and evaluation of the potential value of [68Ga]Ga-DOTA-Siglec-9 in diagnosis and monitoring of the disease are warranted.
Digitalization of planning and navigating recreational outdoor activities
Authors: Schwietering Arne , Steinbauer Manuel , Mangold Max , Sand Manuel , Audorff Volker 
Published: December 2023

AbstractEffective visitor management requires reaching visitors with fitting information at the right time through the channels they already use. To identify effective communication channels, 410 recreationists were interviewed in north-east Bavaria to determine how they plan and navigate their outdoor activities. Interviews were conducted onsite (38%) as well as through digital media (62%). The study found that the majority of people use digital tools when planning (86%) and navigating (73%) outdoor activities. Additionally, most people (84%) use more than one tool for planning activities, while almost half (48%) use only one tool for navigation. The choice of tools was largely influenced by the planned activity. Trail running (93%), mountain biking (93%), and hiking (84%) were mostly planned using a digital main tool, while sport climbing was mainly planned using an analog main tool (57%), with 87% of sport climbers using printed guidebooks. Age had a smaller effect on tool choice, with 90% of 30-year-olds using a digital main tool for planning outdoor activities compared to 73% of 60-year-olds. The study demonstrates the importance and the diversity of digital tools used for outdoor activities that need to be considered for effective visitor management in tourism as well as nature conservation.
Behaviour of aluminium/steel hybrid RSW joints under high cycle fatigue loading
Authors: Meilinger Ákos , Cserépi Mariann Fodorné , Lukács János 
Published: December 2023

AbstractThe lightweight construction of automotive car bodies is the more important to reduce the fuel consumption and costs. High-strength steels and aluminium alloys are suitable for achieving these aims. Recent car bodies contain both materials, therefore necessary to make reliable joints between them. The resistance spot welding (RSW) can be used for joining of car bodies and it is applicable for aluminium/steel hybrid joints, too. High cycle fatigue (HCF) test results can be rarely found in the literature while HCF loading basically determines the lifetime of hybrid joints. 5754-H22, 6082-T6, and DP600 base materials were used for similar and hybrid RSW joints and HCF tests were performed. Number of cycles to failure values, failure modes, furthermore brittle intermetallic compound (IMC) layers were studied and analysed. In both aluminium/steel hybrid joints, the HCF test results showed better endurance limit like concerning aluminium/aluminium similar joints, but worse than steel/steel joints. For 5754-H22 alloy the endurance limit values are 648 N, 939 N, and 1285.5 N, for similar aluminium, hybrid, and similar steel joints, respectively. For 6082-T6 alloy these values are 513 N, 625.5 N, and 1285.5 N, respectively. In case of similar joints only base material fracture happens, but hybrid joint specimens show different failure modes. Base material fracture and shearing after partial base material fracture were typical failure modes in case of 5754-H22/DP600 and 6082-T6/DP600 hybrid joints, respectively. The full and partial plugging as a failure modes appeared for hybrid joints, too. The IMC layer characteristics showed opposite results in cases of hybrid joints, both the layer thicknesses of the shared and plugged joints and the thickness differences between the inner and outer parts of the joints were different.
Bibliometric analysis and visualization of sustainable infrastructure
Authors: Elkhayat Yasmine , Mohamed Basma , Zayat Mohamed El , Marzouk Mohamed 
Published: December 2023

AbstractIn comparison with other construction sectors, infrastructure projects are recognized for their relatively longer operation periods, important societal, economic benefits, and extensive consumption of natural resources. The rapid global economic development in the infrastructure industry and rising levels of environmental concerns lead to an increased need for sustainable infrastructure. Despite the fast-growing body of knowledge about sustainable infrastructure and its important role in accomplishing the Sustainable Development Goals which were set forth by the United Nations in 2015, there is a lack of quantitative and comprehensive review studies of sustainable infrastructure. Most of the conducted studies tend to address sustainability issues in infrastructure projects from singular aspects such as society-based design and Public Private Partnerships, among others. Hence, the current research attempts to address this gap by analyzing 1393 peer-reviewed journal papers between 2012 and 2023 using bibliometric analysis through co-authorship, co-occurrence, cluster, theme, trend topics, and citation analyses. The results demonstrate the main scientific contributors, prominent journals, research patterns, and directions for future research about sustainable infrastructure in the field of civil engineering and building construction. Such findings can be thus utilized by interested academic researchers and policymakers.
Local behavior of the Eden model on graphs and tessellations of manifolds
Authors: Hua Dongming Merrick , Manin Fedor , Queer Tahda , Wang Tianyi 
Published: December 2023

AbstractThe Eden Model in $${\mathbb {R}}^n$$

R

n

constructs a blob as follows: initially a single unit hypercube is infected, and each second a hypercube adjacent to the infected ones is selected randomly and infected. Manin, Roldán, and Schweinhart investigated the topology of the Eden model in $${\mathbb {R}}^{n}$$

R

n

by considering the possible shapes which can appear on the boundary. In particular, they give probabilistic lower bounds on the Betti numbers of the Eden model. In this paper, we prove analogous results for the Eden model on any infinite, vertex-transitive, locally finite graph: with high probability as time goes to infinity, every “possible” subgraph (with mild conditions on what “possible” means) occurs on the boundary of the Eden model at least a number of times proportional to an isoperimetric profile of the graph. Using this, we can extend the results about the topology of the Eden model to non-Euclidean spaces, such as hyperbolic n-space and universal covers of certain Riemannian manifolds.
What Influences the Demand for a Potential Flood Insurance Product in an Area with Low Previous Exposure to Insurance? – A Case Study in the West African Lower Mono River Basin (LMRB)
Authors: Wagner Simon , Thiam Sophie , Dossoumou Nadège I. P. , Daou David 
Published: December 2023

AbstractFloods portray a severe problem in the riverine areas of West Africa while more frequent and intense heavy precipitation events are projected under climatic change scenarios. Already, floods cause manifold impacts, leaving the population to cope with the financial impacts of floods through their own means. As formal risk transfer mechanisms (e.g., insurance) are not yet widely available to the population, efforts to increase their accessibility are being intensified. However, studies assessing flood insurance demand currently mostly focus on regions with more established markets. Also, they are majorly applying conventional statistical modeling approaches that consider only a small number of parameters. Contrarily, this study aims to provide an approach for assessing flood insurance in a context of low previous exposure to such products, to allow for a better consideration of the research context. Therefore, a parameter selection framework is provided and machine learning and deep learning models are applied to selected parameters from an existing household survey data set. In addition, the deep learning sequential neural networks outperformed all machine learning models achieving an accuracy between 93.5—100% depending on the loss function and optimizer used. The risk to be covered, insurance perception, no access to any source, access to support from community solidarity funds, access to governmental support, or drawing upon own resources for financial coping, financial recovery time, lack of means and prioritizing more essential needs emerged as important model parameters in researching insurance demand. Future roll-out campaigns could consider the parameters pointed out by this study.
“I Felt Like I Wanted to Hug the Whole World”: Forgiveness as an Embodied Emotional Narrative Process
Authors: Haikola Anne 
Published: December 2023

AbstractEarlier studies have shown that forgiveness is an emotional process. However, it is not very clear how the emotional transition is made from transgression to forgiveness, or how it is embodied. The current research explored how embodiment and emotions are used to make sense of the narrative forgiveness process. Applying McAdams’s life story interview method, 22 Finnish adults were interviewed about their experiences of forgiveness. Their responses were subjected to thematic narrative analysis. The data-driven process revealed two overarching themes: empowerment and pain. Five subthemes were formed: (1) forgiveness as a liberation, (2) forgiveness as a relief from a burden, (3) forgiveness as releasing energy, (4) forgiveness through vulnerability, and (5) forgiveness through hate. The findings indicate that forgiveness is a complex and dimensional process with nuances on emotional, sensory, and embodied levels. In the past, forgiveness and unforgiveness have been constructed as distinct entities, but the current results highlight that they may overlap. Future studies could explore forgiveness and unforgiveness together with various methods to gain deeper understanding of being hurt, releasing the hurt, and living with it.
Persistent Homology-Based Classification of Chaotic Multi-variate Time Series: Application to Electroencephalograms
Authors: Flammer Martina 
Published: December 2023

AbstractIn this work, we present a combination of dimension reduction techniques and persistent homology for detection of epileptic events in electroencephalograms for a special kind of epilepsy called petit-mal epilepsy. Persistent homology, one of the main methods in topological data analysis, extracts information about the structures appearing in a given data set. Since during an epileptic seizure of the above type the electrical brain activity is more synchronized, we take the resulting structure in the EEG signal as classification feature that is analyzed topologically by means of persistent homology. As preprocessing step, the dimension of the data is reduced by two alternative techniques, principal component analysis and dynamical component analysis, and their performance is compared. Our results show that in comparison to principal component analysis, dynamical component analysis captures the dynamics of the system when projected onto a low-dimensional subspace. Furthermore, the results prove that persistent homology is well-suited for the detection of petit-mal epileptic seizures by means of their inherent structure.