bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is sibship composition a risk factor for childhood asthma? Systematic review and meta-analysis
Authors: Lisik Daniil , Ermis Saliha Selin Özuygur , Ioannidou Athina , Milani Gregorio Paolo , Nyassi Sungkutu , Spolidoro Giulia Carla Immacolata , Kankaanranta Hannu , Goksör Emma , Wennergren Göran , Nwaru Bright Ibeabughichi 
Published: April 2023

AbstractBackgroundFollowing the “hygiene hypothesis”, the role of sibship composition in asthma and wheezing has been extensively studied, but the findings are inconsistent. For the first time, this systematic review and meta-analysis synthesized evidences from studies investigating the association of sibship size and birth order with risk of asthma and wheezing.MethodsFifteen databases were searched to identify eligible studies. Study selection and data extraction were performed independently by pairs of reviewers. Meta-analysis with robust variance estimation (RVE) was used to produce pooled risk ratio (RR) effect estimates from comparable numerical data.ResultsFrom 17,466 identified records, 158 reports of 134 studies (> 3 million subjects) were included. Any wheezing in the last ≤ 1.5 years occurred more frequently in infants with ≥ 1 sibling [pooled RR 1.10, 95% confidence interval (CI) 1.02–1.19] and ≥ 1 older sibling (pooled RR 1.16, 95% CI 1.04–1.29). The pooled effect sizes for asthma were overall statistically nonsignificant, although having ≥ 1 older sibling was marginally protective for subjects aged ≥ 6 years (pooled RR 0.93, 95% CI 0.88–0.99). The effect estimates weakened in studies published after 2000 compared with earlier studies.ConclusionsBeing second-born or later and having at least one sibling is associated with a slightly increased risk of temporary wheezing in infancy. In contrast, being second-born or later is associated with marginal protection against asthma. These associations appear to have weakened since the turn of the millennium, possibly due to lifestyle changes and socioeconomic development.
Stature estimation in Ancient Greece: population-specific equations and secular trends from 9000 BC to 900 AD
Authors: Koukli Marianna , Siegmund Frank , Papageorgopoulou Christina 
Published: April 2023

AbstractStature is critical for our understanding of human morphology and evolution. This necessitates the development of accurate stature estimation methods. The aim of the present study is to generate population-specific equations for ancient Greece and to explore the diachronic stature trends over the last 10,000 years. In parallel, it introduces the Logarithmic Human Stature Index (LHSI) as a new tool for inter-population comparisons. We collected anthropometric data and reconstructed stature using the anatomical method from 77 males and 59 females from Greece (3rd c. BC–9th c. AD). We utilized this dataset to generate population-specific equations. We then applied the new formula to 775 individuals (10th millennium BC–9th c. AD) from Greece exploring stature secular trends. We tested the new equations to different populations of European origin (662 males and 498 females). Ordinary least square sets based on lower limbs provided the best estimations with the smaller errors. Male and female stature in ancient Greece in the last 10,000 years ranged from 159.7 to 170.6 cm and from 153.1 to 160.4 cm, respectively. We observed a decrease from the Mesolithic to the Neolithic period, a gradual increase from the Bronze Age to the Archaic/Classical periods, and a steady increase from the Roman period onwards. Stature secular trends in Greece are in accordance with historic, archaeological, and genomic data and similar to European patterns. LHSI is a valuable tool for anthropometric comparisons between reference series and thus can contribute to the choice of the optimal stature estimation formula.
The Role of Dispositional Mindfulness in the Impact of Repetitive Negative Thinking on Anxiety and Depression in People with Different Autistic-Like Traits
Authors: Zappullo Isa , Senese Vincenzo Paolo , Cecere Roberta , Raimo Gennaro , Baiano Chiara , Lauro Anna , Conson Massimiliano 
Published: April 2023

Abstract
Objectives
Available data suggest that inflexible allocation of attention in people on the autism spectrum can lead to anxiety and depression symptoms, through the increase of repetitive negative thinking (worry and rumination). In the present study, we used dispositional mindfulness as a proxy to attention flexibility and tested its role in the influence of repetitive negative thinking on affective symptoms (anxiety and depression) in people with different autistic-like traits.

Method
Path analysis was used to test the direct and indirect effects of different autistic-like traits, dispositional mindfulness, worry and rumination on anxiety-related concerns and depression symptoms in a sample (n = 209) of neurotypical adults.

Results
Autistic-like traits implying poor attention switching and communication abilities were linked to higher dispositional mindfulness, increased repetitive thinking, and stronger affective symptoms through largely shared pathways. Autistic-like traits implying strong attention-to-detail bypassed dispositional mindfulness in the pathways linking increased repetitive negative thinking and stronger affective symptoms.

Conclusions
The present findings indicate that dispositional mindfulness can play a protective role against the impact of worry and rumination on affective symptoms in some people but not in others, depending on different autistic-like traits.

Preregistration
This study was not pre-registered.
Comparison of machine learning techniques and spatial distribution of daily reference evapotranspiration in Türkiye
Authors: Yildirim Demet , Küçüktopcu Erdem , Cemek Bilal , Simsek Halis 
Published: April 2023

AbstractReference evapotranspiration (ET0) estimates are commonly used in hydrologic planning for water resources and agricultural applications. Last 2 decades, machine learning (ML) techniques have enabled scientists to develop powerful tools to study ET0 patterns in the ecosystem. This study investigated the feasibility and effectiveness of three ML techniques, including the k-nearest neighbor algorithm, multigene genetic programming, and support vector regression (SVR), to estimate daily ET0 in Türkiye. In addition, different interpolation techniques, including ordinary kriging (OK), co-kriging, inverse distance weighted, and radial basis function, were compared to develop the most appropriate ET0 maps for Türkiye. All developed models were evaluated according to the performance indices such as coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE). Taylor, violin, and scatter plots were also generated. Among the applied ML models, the SVR model provided the best results in determining ET0 with the performance indices of R2 = 0.961, RMSE = 0.327 mm, and MAE = 0.232 mm. The SVR model’s input variables were selected as solar radiation, temperature, and relative humidity. Similarly, the maps of the spatial distribution of ET0 were produced with the OK interpolation method, which provided the best estimates.
Feral dual spaces and (strongly) distinguished spaces C(X)
Authors: Ka̧kol Jerzy , Śliwa Wiesław 
Published: April 2023

AbstractFollowing Dieudonné and Schwartz a locally convex space is distinguished if its strong dual is barrelled. The distinguished property for spaces $$C_p(X)$$

C
p

(
X
)

of continuous real-valued functions over a Tychonoff space X is a peculiar (although applicable) property. It is known that $$C_p(X)$$

C
p

(
X
)

is distinguished if and only if $$C_p(X)$$

C
p

(
X
)

is large in $$\mathbb {R}^X$$

R

X

if and only if X is a $$\Delta $$
Δ
-space (in sense of Reed) if and only if the strong dual of $$C_p(X)$$

C
p

(
X
)

carries the finest locally convex topology. Our main results about spaces whose strong dual has only finite-dimensional bounded sets (see Theorems 2, 7 and Proposition 4) are used to study distinguished spaces $$C_k(X)$$

C
k

(
X
)

with the compact-open topology. We also put together several known facts (Theorem 6) about distinguished spaces $$C_p(X)$$

C
p

(
X
)

with self-contained full proofs.
An entropy-stable updated reference Lagrangian smoothed particle hydrodynamics algorithm for thermo-elasticity and thermo-visco-plasticity
Authors: Lee Chun Hean , Refachinho de Campos Paulo R. , Gil Antonio J. , Giacomini Matteo , Bonet Javier 
Published: April 2023

AbstractThis paper introduces a novel upwind Updated Reference Lagrangian Smoothed Particle Hydrodynamics (SPH) algorithm for the numerical simulation of large strain thermo-elasticity and thermo-visco-plasticity. The deformation process is described via a system of first-order hyperbolic conservation laws expressed in referential description, chosen to be an intermediate configuration of the deformation. The linear momentum, the three incremental geometric strains measures (between referential and spatial domains), and the entropy density of the system are treated as conservation variables of this mixed coupled approach, thus extending the previous work of the authors in the context of isothermal elasticity and elasto-plasticity. To guarantee stability from the SPH discretisation standpoint, appropriate entropy-stable upwinding stabilisation is suitably designed and presented. This is demonstrated via the use of the Ballistic free energy of the coupled system (also known as Lyapunov function), to ensure the satisfaction of numerical entropy production. An extensive set of numerical examples is examined in order to assess the applicability and performance of the algorithm. It is shown that the overall algorithm eliminates the appearance of spurious modes (such as hour-glassing and non-physical pressure fluctuations) in the solution, typical limitations observed in the classical Updated Lagrangian SPH framework.
Obesity Heterogeneity by Neighborhood Context in a Largely Latinx Sample
Authors: Kranjac Ashley W. , Kranjac Dinko , Kain Zeev N. , Ehwerhemuepha Louis , Jenkins Brooke N. 
Published: April 2023

Abstract Neighborhood socioeconomic context where Latinx children live may influence body weight status. Los Angeles County and Orange County of Southern California both are on the list of the top ten counties with the largest Latinx population in the USA. This heterogeneity allowed us to estimate differential impacts of neighborhood environment on children’s body mass index z-scores by race/ethnicity using novel methods and a rich data source. We geocoded pediatric electronic medical record data from a predominantly Latinx sample and characterized neighborhoods into unique residential contexts using latent profile modeling techniques. We estimated multilevel linear regression models that adjust for comorbid conditions and found that a child’s place of residence independently associates with higher body mass index z-scores. Interactions further reveal that Latinx children living in Middle-Class neighborhoods have higher BMI z-scores than Asian and Other Race children residing in the most disadvantaged communities. Our findings underscore the complex relationship between community racial/ethnic composition and neighborhood socioeconomic context on body weight status during childhood.
DUS-neutrosophic multivariate inverse Weibull distribution: properties and applications
Authors: Hassan Marwa K. H. , Aslam Muhammad 
Published: April 2023

AbstractThe existing DUS-multivariate inverse Weibull distribution under classical statistics can be applied when all observations in the data are imprecise. In this paper, we introduce DUS-neutrosophic multivariate inverse Weibull distribution that can be used when the observations in the data are imprecise or in intervals. We derive some statistical properties and functions of DUS-neutrosophic multivariate inverse Weibull distribution. We also discuss the maximum likelihood estimation method for estimating the parameters. Monte-Carlo simulation study is performed to study the behavior of maximum likelihood estimates. We compare the efficiency of the proposed DUS-neutrosophic multivariate inverse Weibull distribution with the existing distributions under classical statistics. From the comparison, it is found that the proposed DUS-neutrosophic multivariate inverse Weibull distribution provides smaller values of Akaike’s information criteria and Bayesian information criteria than the existing distributions under classical statistics. The proposed study can be extended for other statistical distributions as future research.
Unconstrained neighbor selection for minimum reconstruction error-based K-NN classifiers
Authors: Hajizadeh Rassoul 
Published: April 2023

AbstractIt is essential to define more convincing and applicable classifiers for small datasets. In this paper, a minimum reconstruction error-based K-nearest neighbors (K-NN) classifier is proposed. We propose a new neighbor selection method. In the proposed neighbor selection method, a subset of data that minimize the reconstruction error is assigned as the neighbors of the query sample. Also, there is not any constraint on the distance of the neighbors from the query sample. An $${{l}}_{0}$$

l
0

-based sparse representation problem is introduced for selecting the neighbors. These neighbors are assigned as neighbors of the minimum reconstruction error-based K-NN classifiers. Three $${{l}}_{0}$$

l
0

-based minimum reconstruction error-based K-NN classifiers are introduced. These classifiers are less sensitive to the reconstruction coefficients in minimum reconstruction error-based K-NN classifiers and reconstruct the query sample with less error. The results on UCI machine learning repository, UCR time-series archive datasets, and a small subset (16%) of MNIST handwritten digit database demonstrate the suitable performance of the proposed method. The recognition precision increases up to more than 3% in some evaluations.
Construction of a Right Inverse for the Divergence in Non-cylindrical Time Dependent Domains
Authors: Saari Olli , Schwarzacher Sebastian 
Published: April 2023

AbstractWe construct a stable right inverse for the divergence operator in non-cylindrical domains in space-time. The domains are assumed to be Hölder regular in space and evolve continuously in time. The inverse operator is of Bogovskij type, meaning that it attains zero boundary values. We provide estimates in Sobolev spaces of positive and negative order with respect to both time and space variables. The regularity estimates on the operator depend on the assumed Hölder regularity of the domain. The results can naturally be connected to the known theory for Lipschitz domains. The most precise estimates are given in weighted spaces, where the weight depends on the distance to the boundary. This allows for the deficit to be captured precisely in the vicinity of irregularities of the boundary. As an application, we prove refined pressure estimates for weak and very weak solutions to Navier–Stokes equations in time dependent domains.
Precision Measurement of Complex Optics Using a Scanning-Point Multiwavelength Interferometer Operating in the Visible Domain
Authors: Wendel Marc 
Published: April 2023

AbstractThe growing demands of optical systems have led to increasingly complex aspheres and freeforms. In this paper, an established measurement system in asphere production, which is also a promising approach in high-precision freeform metrology, is presented. It is based on a scanning-point multiwavelength interferometer approach. The scanning principle enables great flexibility, reduces setup time and costs, and has almost no limitations in spherical departure. Due to the absolute measurement capability, the utilized multiwavelength approach is beneficial for segmented, annular, and discrete surfaces, which are common designs of modern applications’ optical elements. The metrology system enables measurements on a nanometer scale on a great variety of apertures—from 1 to 1000 mm. Recently, a new short-coherence multiwavelength interferometer operating in the visible domain has been developed. It enables the high-precision measurement on silicon-coated surfaces, which can be found in space applications and are also commonly used for extreme-ultraviolet (EUV) lithographic setups, which will be used as an example throughout this work. Owing to the large absolute measurement capability, applied grating structures for suppressing infrared light in the EUV process can easily be measured. This paper summarizes the basic working principles of the proposed metrology system, explains the special requirements for different fields of application, highlights the capabilities of the visible multiwavelength approach, and shows the measurement results.
Exploring barriers and facilitators of behavioural changes in dietary intake and physical activity: a qualitative study in older adults undergoing transcatheter aortic valve implantation
Authors: van Erck Dennis , Dolman Christine D. , Henriques José P. , Schoufour Josje D. , Delewi Ronak , Scholte op Reimer Wilma J. M. , Snaterse Marjolein 
Published: April 2023

Abstract
Purpose
The majority of older patients, scheduled for a cardiac procedure, do not adhere to international dietary intake and physical activity guidelines. The purpose of this study was to explore barriers and facilitators regarding dietary intake and physical activity behaviour change in older patients undergoing transcatheter aortic valve implantation (TAVI).

Methods
We conducted a qualitative study using semi-structured interviews with patients undergoing TAVI. Interviews were analysed by two independent researchers using thematic analysis, the capability, opportunity and motivation behaviour model was used as a framework.

Results
The study included 13 patients (82 ± 6 years old, 6 females) until data saturation was reached. Six themes were identified, which were all applicable to both dietary intake and physical activity. Three following themes were identified as barriers: (1) low physical capability, (2) healthy dietary intake and physical activity are not a priority at an older age and (3) ingrained habits and preferences. Three following themes were identified as facilitators: (1) knowledge that dietary intake and physical activity are important for maintaining health, (2) norms set by family, friends and caregivers and (3) support from the social environment.

Conclusion
Our study found that older patients had mixed feelings about changing their behaviour. The majority initially stated that dietary intake and physical activity were not a priority at older age. However, with knowledge that behaviour could improve health, patients also stated willingness to change, leading to a state of ambivalence. Healthcare professionals may consider motivational interviewing techniques to address this ambivalence.
Mechanical stimulation devices for mechanobiology studies: a market, literature, and patents review
Authors: Melo-Fonseca F. , Carvalho O. , Gasik M. , Miranda G. , Silva F. S. 
Published: April 2023

AbstractSignificant advancements in various research and technological fields have contributed to remarkable findings on the physiological dynamics of the human body. To more closely mimic the complex physiological environment, research has moved from two-dimensional (2D) culture systems to more sophisticated three-dimensional (3D) dynamic cultures. Unlike bioreactors or microfluidic-based culture models, cells are typically seeded on polymeric substrates or incorporated into 3D constructs which are mechanically stimulated to investigate cell response to mechanical stresses, such as tensile or compressive. This review focuses on the working principles of mechanical stimulation devices currently available on the market or custom-built by research groups or protected by patents and highlights the main features still open to improvement. These are the features which could be focused on to perform, in the future, more reliable and accurate mechanobiology studies.
Graphic abstract
Bioaccumulation for heavy metal removal: a review
Authors: Nnaji Nnabueze Darlington , Onyeaka Helen , Miri Taghi , Ugwa Chinenye 
Published: April 2023

AbstractThis paper reviews plants and microorganisms removal of heavy metals from contaminated sites through bioaccumulation. Increased industrial activities have led to the uncontrolled release of metals into the environment, resulting in a global increase in metal pollution. Heavy metals are also consumed from the surface of glasses over a prolonged period of use. Heavy metal pollution is a serious problem that can have wide-ranging and long-lasting impacts on human health and the environment. Therefore, effective removal and remediation of heavy metal pollution are crucial to protect human and ecological health. Traditional methods of heavy metal removal, such as chemical treatment and physical removal, can be costly and can also have negative impacts on the environment. The utilization of plants and microorganisms for bioremediation of metal-polluted environments has proven effective for removing metals through accumulation and/or detoxification. This method is effective, economical, versatile, and environmentally friendly. Bioaccumulation utilizes plants and microorganisms to absorb and remove heavy metals from contaminated sites. This method is not only cost-effective but also helps to minimize the environmental impact of heavy metal pollution. Additionally, bioaccumulation can be used in combination with other techniques, such as phytostabilization and phytodegradation, to further improve the efficiency of heavy metal removal. The paper also discusses the use of plants and microorganisms in the removal of heavy metals from water and soil through biomagnification and bioconcentration. Techniques such as phytoaccumulation, phytostimulation, phytodegradation, phytovolatilization, phytostabilization, and phytofiltration are also discussed as effective ways of remediation of heavy metal contaminated sites.
A Structured Benefit-Risk Assessment Operating Model for Investigational Medicinal Products in the Pharmaceutical Industry
Authors: Sullivan Tim , Zorenyi Gyorgy , Feron Jane , Smith Meredith , Nord Magnus 
Published: April 2023

AbstractRobust and transparent formal benefit-risk (BR) analyses for medicinal products represent a means to better understand the appropriate use of medicinal products, and to maximize their value to prescribers and patients. Despite regulatory and social imperatives to conduct structured BR (sBR) assessments, and the availability of a plethora of methodological tools, there exists large variability in the uptake and execution of sBR assessments among pharmaceutical companies. As such, in this paper we present an sBR assessment framework developed and implemented within a large global pharmaceutical company that aims to guide the systematic assessment of BR across the continuum of drug development activities, from first-time-in-human studies through to regulatory submission. We define and emphasize the concepts of Key Clinical Benefits and Key Safety Risks as the foundation for BR analysis. Furthermore, we define and foundationally employ the concepts of sBR and a Core Company BR position as the key elements for our BR framework. We outline 3 simple stages for how to perform the fundamentals of an sBR analysis, along with an emphasis on the weighting of Key Clinical Benefits and Key Safety Risks, and a focus on any surrounding uncertainties. Additionally, we clarify existing definitions to differentiate descriptive, semi-quantitative, and fully quantitative BR methodologies. By presenting our framework, we wish to stimulate productive conversation between industry peers and health authorities regarding best practice in the BR field. This paper may also help facilitate the pragmatic implementation of sBR methodologies for organizations without an established framework for such assessments.