bluuebunny/crossref_metadata_2025_split huggingface dataset:
Halo-pelvic traction in the treatment of severe scoliosis: a meta-analysis
Authors: Sun Yan , Zhang Yong , Ma Haoning , Tan Mingsheng , Zhang Zhihai 
Published: January 2023

Abstract
Purpose
To provide better evidence of the efficacy and safety of preoperative halo-pelvic traction on the improvements of deformity and pulmonary functions in patients with severe scoliosis.

Methods
Electronic database searches were conducted including the Cochrane Library, PubMed, Web of Science and Embase. All studies of halo-pelvic traction for the management of severe spinal deformity were included. We referred to a list of four criteria developed by the Agency for Healthcare Research and Quality (AHRQ) to assess the quality of included studies. The meta-analysis was performed using RevMan 5.4 software.

Results
Based on the study selection criteria, a total of eight articles consisting of a total of 210 patients were included. Statistically significant differences were found in coronal Cobb angle (P < 0.001), sagittal Cobb angle (P < 0.001) and height (P < 0.001) between pre- and post-traction. Sensitivity analysis was conducted, and there were substantial changes in heterogeneity with preoperative thoracoplasty subgroup in coronal Cobb angle (P < 0.001). Three trials including 74 subjects reported FVC and FEV1 predicted value between pre- and post-traction. There were statistically significant differences in FVC, FVC%, FEV1 and FEV1% (P < 0.001). The complication rate was 6.6–26.7%, and symptoms disappeared after reasonable traction strategy and intensive care.

Conclusions
Preoperative halo-pelvic traction achieved significant improvements in spinal deformity and pulmonary functions, with minor and curable complications. Thus, it is an effective and safe solution before surgery and may be the optimal choice for severe scoliosis. In light of the heterogeneity and limitations, future researches are needed to better determine the long-term efficacy on comprehensive assessment and to explore the appropriate traction system.
Factors Associated with Preferences for Long-Acting Injectable Antiretroviral Therapy Among Adolescents and Young People Living with HIV in South Africa
Authors: Toska Elona , Zhou Siyanai , Chen-Charles Jenny , Gittings Lesley , Operario Don , Cluver Lucie 
Published: January 2023

AbstractLong-acting injectable anti-retroviral therapy (LAART) may overcome barriers to long-term adherence and improve the survival of adolescents and young people living with HIV (AYLHIV). Research on the acceptability of LAART for this age-group is limited. We asked 953 AYLHIV about their preferred (theoretical) ART mode of delivery (pill, injectable, or other) in 2017–2018, before LAART was available or known to AYLHIV in South Africa. One in eight (12%) AYLHIV preferred LAART over single or multiple pill regimens. In multivariate analyses, six factors were associated with LAART preference: medication stock-outs (aOR = 2.56, 95% CI 1.40–4.68, p = 0.002), experiencing side-effects (aOR = 1.84, 95% CI 1.15–2.97, p = 0.012), pill-burden (aOR = 1.88, 95% CI 1.20–2.94, p = 0.006), past-year treatment changes (aOR = 1.63, 95% CI 1.06–2.51, p = 0.025), any HIV stigma (aOR = 2.22, 95% CI 1.39–3.53, p ≤ 0.001) and recent ART initiation (aOR = 2.02, 95% CI 1.09–3.74, p = 0.025). In marginal effects modelling, 66% of adolescents who experienced all factors were likely to prefer LAART, highlighting the potential high acceptability of LAART among adolescents and young people living with HIV struggling to adhere and have good HIV treatment outcomes. Adolescent boys who reported high ART pill burden were more likely to prefer LAART than their female peers in moderation analyses, suggesting that LAART may be particularly important to improve treatment outcomes among male AYLHIV as they become older. Adding LAART to existing treatment options for AYLHIV, particularly higher risk groups, would support AYLHIV to attain and sustain viral suppression—the third 95, and reduce their risk of AIDS-related mortality.
Psychometric Properties of an Adapted Stigma Scale and Experiences of Stigma Associated with HIV Pre-exposure Prophylaxis Use Among Men Who have Sex with Men: A Mixed Methods Study
Authors: Gillespie David , Williams Adam , Wood Fiona , Couzens Zoë , Jones Adam , Ma Richard , de Bruin Marijn , Hughes Dyfrig A. , Hood Kerenza 
Published: January 2023

AbstractStigma may influence the use of HIV pre-exposure prophylaxis (PrEP). However, there is an absence of robust measures for PrEP-related stigma. We describe an adaptation of a HIV stigma scale for use in PrEP users and experiences of PrEP users in Wales (UK) with regards to PrEP-related stigma. A mixed methods study was conducted where PrEP users completed questionnaire items about PrEP-related stigma and a subset were interviewed about their experiences of taking PrEP. We adapted items from the HIV stigma scale and assessed construct validity and internal consistency. We analysed interview data using a framework approach, with themes focussing on enacted and anticipated stigma in order to identify areas for scale refinement. Our measure had good psychometric properties but additional items may be useful (e.g. specific instances of enacted stigma, concerns around homonegativity). Further work is needed to develop this scale and validate it in a larger sample.
Validation of Multidimensional Scale of Perceived Social Support (MSPSS) in Vietnamese Among People Living with HIV/AIDS
Authors: Kieu Pham Tieu , Vuong Nguyen Lam , Dung Do Van 
Published: January 2023

AbstractSocial support plays a vital role in the health of HIV/AIDS patients, but there needs to be a validated instrument to measure social support in Vietnam. This cross-sectional study was to validate a Vietnamese translation of the Multidimensional Perceived Social Support Scale (MSPSS). The study had three stages: [1] translation to Vietnamese, [2] pilot testing, and [3] validation of the translation. Stage 1, including forward and backward translation by four independent translators, resulted in a good content validity translation. Pilot testing was done on 30 HIV/AIDS patients: the translation was understandable, and no change was required. Five hundred HIV/AIDS patients were recruited in stage 3. The translation had excellent internal consistency (Cronbach’s alpha: 0.90), good test-retest reliability (intra-class correlation coefficient: 0.95), and good concurrent validity. Construct validity was well established by confirmatory factor analysis. The Vietnamese translation of the MSPSS is reliable and valuable for measuring perceived social support.
Does Wearable-Measured Heart Rate Variability During Sleep Predict Perceived Morning Mental and Physical Fitness?
Authors: de Vries Herman , Oldenhuis Hilbrand , van der Schans Cees , Sanderman Robbert , Kamphuis Wim 
Published: January 2023

AbstractThe emergence of wearable sensor technology may provide opportunities for automated measurement of psychophysiological markers of mental and physical fitness, which can be used for personalized feedback. This study explores to what extent within-subject changes in resting heart rate variability (HRV) during sleep predict the perceived mental and physical fitness of military personnel on the subsequent morning. Participants wore a Garmin wrist-worn wearable and filled in a short morning questionnaire on their perceived mental and physical fitness during a period of up to 46 days. A custom-built smartphone app was used to directly retrieve heart rate and accelerometer data from the wearable, on which open-source algorithms for sleep detection and artefact filtering were applied. A sample of 571 complete observations in 63 participants were analyzed using linear mixed models. Resting HRV during sleep was a small predictor of perceived physical fitness (marginal R2 = .031), but not of mental fitness. The items on perceived mental and physical fitness were strongly correlated (r = .77). Based on the current findings, resting HRV during sleep appears to be more related to the physical component of perceived fitness than its mental component. Recommendations for future studies include improvements in the measurement of sleep and resting HRV, as well as further investigation of the potential impact of resting HRV as a buffer on stress-related outcomes.
Foam-formed biocomposites based on cellulose products and lignin
Authors: Miranda-Valdez Isaac Y. , Coffeng Sebastian , Zhou Yu , Viitanen Leevi , Hu Xiang , Jannuzzi Luisa , Puisto Antti , Kostiainen Mauri A. , Mäkinen Tero , Koivisto Juha , Alava Mikko J. 
Published: January 2023

Abstract
Foam-formed cellulose biocomposites are a promising technology for developing lightweight and sustainable packaging materials. In this work, we produce and characterize biocomposite foams based on methylcellulose (MC), cellulose fibers (CF), and lignin (LN). The results indicate that adding organosolv lignin to a foam prepared using MC and CF moderately increases Young’s modulus, protects the foam from the growth of Escherichia coli bacteria, and improves the hydrophobicity of the foam surface. This article concludes that organosolv lignin enhances many properties of cellulose biocomposite foams that are required in applications such as insulation, packaging, and cushioning. The optimization of the foam composition offers research directions toward the upscaling of the material solution to the industrial scale.

Graphical abstract
On computing exact means of time series using the move-split-merge metric
Authors: Holznigenkemper Jana , Komusiewicz Christian , Seeger Bernhard 
Published: January 2023

AbstractComputing an accurate mean of a set of time series is a critical task in applications like nearest-neighbor classification and clustering of time series. While there are many distance functions for time series, the most popular distance function used for the computation of time series means is the non-metric dynamic time warping (DTW) distance. A recent algorithm for the exact computation of a DTW-Mean has a running time of $${\mathcal {O}}(n^{2k+1}2^kk)$$

O
(

n

2
k
+
1

2
k

k
)

, where k denotes the number of time series and n their maximum length. In this paper, we study the mean problem for the move-split-merge (MSM) metric that not only offers high practical accuracy for time series classification but also carries of the advantages of the metric properties that enable further diverse applications. The main contribution of this paper is an exact and efficient algorithm for the MSM-Mean problem of time series. The running time of our algorithm is $${\mathcal {O}}(n^{k+3}2^k k^3 )$$

O
(

n

k
+
3

2
k

k
3

)

, and thus better than the previous DTW-based algorithm. The results of an experimental comparison confirm the running time superiority of our algorithm in comparison to the DTW-Mean competitor. Moreover, we introduce a heuristic to improve the running time significantly without sacrificing much accuracy.
Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches
Authors: Alissa Mohamad , Sim Kevin , Hart Emma 
Published: January 2023

AbstractWe propose a novel technique for algorithm-selection, applicable to optimisation domains in which there is implicit sequential information encapsulated in the data, e.g., in online bin-packing. Specifically we train two types of recurrent neural networks to predict a packing heuristic in online bin-packing, selecting from four well-known heuristics. As input, the RNN methods only use the sequence of item-sizes. This contrasts to typical approaches to algorithm-selection which require a model to be trained using domain-specific instance features that need to be first derived from the input data. The RNN approaches are shown to be capable of achieving within 5% of the oracle performance on between 80.88 and 97.63% of the instances, depending on the dataset. They are also shown to outperform classical machine learning models trained using derived features. Finally, we hypothesise that the proposed methods perform well when the instances exhibit some implicit structure that results in discriminatory performance with respect to a set of heuristics. We test this hypothesis by generating fourteen new datasets with increasing levels of structure, and show that there is a critical threshold of structure required before algorithm-selection delivers benefit.
Theorizing Urban Movements in Pierre Bourdieu’s Terms—the Example of Warsaw, Poland
Authors: Orchowska Justyna 
Published: January 2023

Abstract
For more than a decade, the importance of urban social movements has been systematically increasing in the Polish public sphere. However, available theories of social movements cannot account for the variety of forms of urban mobilization or for the ideological differences between organizations. The aim of this paper is to demonstrate the relevance of Pierre Bourdieu’s theory of social class for research on urban movements. Using the concepts of “capital” and “habitus,” the paper explores the social vision and process of the emergence of two activist organizations in Warsaw, Poland. The study is based on qualitative research conducted from 2016 to 2019, which included an analysis of secondary resources and individual in-depth interviews with members from each organization. Bourdieu’s theory of social class facilitates consideration of different aspects of the functioning of urban social movements, including the role of resources and competences, ideological divisions, and chances of success. The theory also provides an explanation for the importance of class within urban social movements. The article shows that, even though the demands of social movements appear to be values-led, in fact, they are based on the class interests of their members.
Properties of Morphological Dilation in Max-Plus and Plus-Prod Algebra in Connection with the Fourier Transformation
Authors: Kahra Marvin , Breuß Michael 
Published: January 2023

AbstractThe basic filters in mathematical morphology are dilation and erosion. They are defined by a structuring element that is usually shifted pixel-wise over an image, together with a comparison process that takes place within the corresponding mask. This comparison is made in the grey value case by means of maximum or minimum formation. Hence, there is easy access to max-plus algebra and, by means of an algebra change, also to the theory of linear algebra. We show that an approximation of the maximum function forms a commutative semifield (with respect to multiplication) and corresponds to the maximum again in the limit case. In this way, we demonstrate a novel access to the logarithmic connection between the Fourier transform and the slope transformation. In addition, we prove that the dilation by means of a fast Fourier transform depends only on the size of the structuring element used. Moreover, we derive a bound above which the Fourier approximation yields results that are exact in terms of grey value quantisation.
Psychosocial Perspective on Problem Gambling: The role of Social Relationships, Resilience, and COVID-19 Worry
Authors: Sirola Anu , Nyrhinen Jussi , Wilska Terhi-Anna 
Published: January 2023

AbstractThe COVID-19 pandemic has amplified several psychosocial risks and problem behaviors among vulnerable individuals. Given that gambling has high addictive potential, it is important to consider the underlying mechanisms of problem gambling. This study examined psychosocial factors associated with pandemic-time problem gambling.Cross-sectional data were gathered via an online survey of 18–75-year-old Finnish, Swedish, and British respondents (n = 2,022) who reported having gambled at least occasionally during the pandemic. Measures included problem gambling, loneliness, COVID-19 worry, social support, and psychological resilience. Control variables included gender, age, and education. Structural equation modeling was used as an analytical technique.Loneliness was found to be associated with problem gambling. While COVID-19 worry was not directly associated with problem gambling, it predicted higher loneliness, which in turn was associated with problem gambling. Evidence was not found regarding the protective role of resilience or social support in problem gambling. However, social support was found to be associated with higher problem gambling severity. Male gender and younger age were associated with problem gambling.The results bring insight into underlying vulnerabilities regarding problem gambling during the pandemic. More focus should be placed on the quality and sources of social support, as well as on how psychosocial risk and protective factors might work differently among different populations of gamblers.
Exact Discrete Solutions of Boundary Control Problems for the 1D Heat Equation
Authors: Lang Jens , Schmitt Bernhard A. 
Published: January 2023

AbstractMethod-of-lines discretizations are demanding test problems for stiff integration methods. However, for PDE problems with known analytic solution, the presence of space discretization errors or the need to use codes to compute reference solutions may limit the validity of numerical test results. To overcome these drawbacks, we present in this short note a simple test problem with boundary control, a situation where one-step methods may suffer from order reduction. We derive exact formulas for the solution of an optimal boundary control problem governed by a one-dimensional discrete heat equation and an objective function that measures the distance of the final state from the target and the control costs. This analytical setting is used to compare the numerically observed convergence orders for selected implicit Runge–Kutta and Peer two-step methods of classical order four, which are suitable for optimal control problems.
A Class of Implicative Expansions of Belnap-Dunn Logic in which Boolean Negation is Definable
Authors: Robles Gemma , Méndez José M. 
Published: January 2023

AbstractBelnap and Dunn’s well-known 4-valued logic FDE is an interesting and useful non-classical logic. FDE is defined by using conjunction, disjunction and negation as the sole propositional connectives. Then the question of expanding FDE with an implication connective is of course of great interest. In this sense, some implicative expansions of FDE have been proposed in the literature, among which Brady’s logic BN4 seems to be the preferred option of relevant logicians. The aim of this paper is to define a class of implicative expansions of FDE in whose elements Boolean negation is definable, whence strong logics such as the paraconsistent and paracomplete logic PŁ4 and BN4 itself are definable, in addition to classical propositional logic.
Reaching Latinx Communities with Algorithmic Optimization for SARS-CoV-2 Testing Locations
Authors: Searcy Jacob A. , Cioffi Camille C. , Tavalire Hannah F. , Budd Elizabeth L. , Cresko William A. , DeGarmo David S. , Leve Leslie D. 
Published: January 2023

AbstractThe COVID-19 pandemic has disproportionately affected communities of color, including Latinx communities. Oregon Saludable: Juntos Podemos (OSJP) is a randomized clinical trial aimed at reducing this disparity by both increasing access to testing for SARS-CoV-2, the virus that causes COVID-19, for Oregon Latinx community members and studying the effectiveness of health and behavioral health interventions on turnout and health outcomes. OSJP established SARS-CoV-2 testing events at sites across Oregon. A critical early question was how to locate these sites to best serve Latinx community members. To propose sites in each participating county, we implemented an algorithmic approach solving a facilities location problem. This algorithm was based on minimizing driving time from Latinx population centers to SARS-CoV-2 testing locations. OSJP staff presented these proposed testing locations to community partners as a starting place for identifying final testing sites. Due to differences in geography, population distributions, and potential site accessibility, the study sites exhibited variation in how well the algorithmic optimization objectives could be satisfied. From this variation, we inferred the effects of the drive time optimization metric on the likelihood of Latinx community members utilizing SARS-CoV-2 testing services. After controlling for potential confounders, we found that minimizing the drive time optimization metric was strongly correlated with increased turnout among Latinx community members. This paper presents the algorithm and data sources used for site proposals and discusses challenges and opportunities for community-based health promotion research when translating algorithm proposals into action across a range of health outcomes.
The drivers of anguillid eel movement in lentic water bodies: a systematic map
Authors: Williamson Michael J. , Jacoby David M. P. , Piper Adam T. 
Published: January 2023

AbstractAnguillid eels are near globally distributed catadromous fishes with marine spawning areas and inshore and inland growth areas in both lotic (rivers, estuaries) and lentic (lakes, ponds, lagoons) water bodies. As predators, anguillid eels play an important ecological role in both marine and freshwater systems, and several species are harvested commercially for food. However, some of the more widely distributed species have undergone severe declines in recruitment and their population status is now of significant concern. Given the multiple and lengthy migrations undertaken by anguillid eels, understanding of the drivers of movement is fundamental for species conservation and management. Yet, despite the importance of lentic systems to their ecology, most studies on anguillid eel movement have been conducted in lotic systems. Given that key influences on eel migration in lotic water bodies, such as fluctuations in flow and water temperature, may be minimised in lentic environments, the transferability of findings between lotic and lentic systems cannot be assumed. A systematic map was constructed to synthesise current knowledge on the extrinsic and intrinsic drivers of anguillid eel movement in lentic systems. The current state of knowledge of the drivers of eel movement in lentic systems is presented and compared to the relatively well-understood drivers of movement in lotic systems. We also discuss current knowledge gaps and limitations, and identify key future research requirements to inform the management and conservation of anguillid eels in understudied lentic systems.
Graphical abstract