bluuebunny/crossref_metadata_2025_split huggingface dataset:
An exploration of polymer presence in magneto‐hydrodynamic flow and heat transfer past a magnetized stretching surface with effects of Joule heating
Authors: Athar Maria , Ahmad Adeel 
Published: September 2022

AbstractThe consequences of polymer presences on magneto‐hydrodynamic flow and heat transfer of a viscous fluid induced by a magnetized permeable heated stretching surface are studied in this article. The Lorentz force and Joule heating are also taken into consideration. The Oldroyd‐B model of polymers is used to study polymer presence which adds an extra stress in the mathematical model due to the polymer stretching. An iterative numerical scheme is opted to solve the set of ruling equations of the problem. Polymers stretch in the boundary layer region due to high velocity gradients. Polymer stretching reduces the zero‐shear viscosity near the surface but the polymeric viscosity (the total contribution of viscosity due to polymer addition) still remains positive, which cause velocity to reduce in the boundary layer region. Polymers are found to have no impact on the bulk. Skin friction along with heat and magnetic fluxes at the surface are evaluated with increasing polymer concentration. Zero polymer concentration represents the absence of polymers. Reduction in heat and magnetic fluxes and drag at the surface is observed in consequence of polymer addition. Polymer effects on skin friction, heat flux, and magnetic flux with respect to different values of magnetic force parameter, magnetic Prandtl number, magnetic interaction parameter, and the Eckert number are also thoroughly analyzed and graphically presented.
Dual‐phase‐lag thermoelastic diffusion analysis of a size‐dependent microplate based on modified fractional‐order heat conduction model
Authors: Tian Lingchen , Peng Wei , He Tianhu 
Published: September 2022

AbstractWith the rapid evolution of small‐scale devices, the effect of size dependence on elastic deformation becomes more and more obvious. Furthermore, the physical processes usually involve memory and inheritance for some anomalous diffusion that the constitutive relation does not obey the standard gradient rate. Owing to capturing the memory‐dependent effect and the size‐dependent effect, the existing thermoelastic diffusion theories cannot be applicable. To further refine the thermoelastic diffusion model for micro/nano structures, a refined nonlocal thermoelastic diffusion model is developed by combining the fractional‐order dual‐phase‐lag (DPL) heat conduction model and fractional‐order diffusion model in this paper. In addition, the Tempered‐Caputo (TC) definition is an extension of the Caputo definition without the fractional derivative of the singular kernel, which is adopted for the first time to reflect the memory‐dependent effects of heat conduction and stress–strain relationship. Then, this new model is applied to investigating the transient response of an elastic microplate subjected to a sinusoidal thermal loading. The corresponding governing equations are formulated and solved by the Laplace transform method and its numerical inversion. In calculation, the influences of the fractional‐order parameter, the tempered parameter and the nonlocal parameter on the variations of the considered quantities are presented and discussed in detail. It is expected to provide new insights into thermoelastic diffusion behaviors of structures at the micro/nanoscale.
Photothermal excitation and Thomson impact in a semiconductor microelongated thermoelastic medium with microtemperatures in the gravity
Authors: Hilal Mohamed I. M. 
Published: September 2022

AbstractThe heating of solids occurs due to the absorbed light from the heat source. Photothermal spectroscopy is a method of measuring the optical absorption and thermal properties of semiconductor materials using high‐sensitivity spectroscopic techniques. In the present paper, the harmonic solution as an analytical solution is provided to describe the semiconductor photothermal microelongated medium with microtemperatures in the gravity field. The proposed photothermal microelongated model is subjected to an induced magnetic field to observe the Thomson effect. The numerical calculations for the components of thermal stresses, displacement, temperature field, and carrier density are obtained using the harmonic solution approach. The propagation of heat, elastic, and plasma waves, as well as the distributions of each investigated field, were examined and explained. The comparison is also used to see how the gravity, Thomson effect, and the photo‐excitation have more observable effects on the distribution of the medium fields during their values changes. With the development of technologies, the semiconducting materials were used widely in modern engineering. The study of wave propagation in a semiconducting medium will have important academic significance and application value.
Multi-source and multi-stage metal mobilization during the tectonic evolution of the Central Lapland Greenstone Belt, Finland: implications for the formation of orogenic Au deposits
Authors: Patten C. G. C. , Molnár F. , Pitcairn I. K. , Kolb J. , Mertanen S. , Hector S. 
Published: September 2022

Abstract
Precambrian greenstone belts are prospective terrains for orogenic Au deposits worldwide, but the sources of Au, base metals, metalloids, and ligands enriched within the deposits are still debated. Metamorphic devolatilization is a key mechanism for generating Au-rich hydrothermal fluids, but the respective role of the metavolcanic and metasedimentary rocks present within these belts in releasing ore-forming elements is still not fully understood. The Central Lapland Greenstone Belt (CLGB), Finland, one of the largest Paleoproterozoic greenstone belts, hosts numerous orogenic Au deposits and is composed of variably metamorphosed volcanic and sedimentary rocks. Characterization of element behavior during prograde metamorphism highlights that (1) metavolcanic rocks release significant Au, As, Sn, Te, and possibly S; (2) metasedimentary rocks release significant S, C, Cu, As, Se, Mo, Sn, Sb, Te, and U, but limited Au; and (3) metakomatiite releases C and possibly Au. Throughout the CLGB metamorphic evolution, two main stages are identified for metal mobilization: (1) prograde metamorphism at ~ 1.92–1.86 Ga, promoting the formation of typical orogenic Au deposits and (2) late orogenic evolution between ~ 1.83 and 1.76 Ga, promoting the formation of both typical and atypical orogenic Au deposits. The complex lithologic diversity, tectonic evolution, and metamorphic history of the CLGB highlight that metal mobilization can occur at different stages of an orogenic cycle and from different sources, stressing the necessity to consider the complete dynamic and long-lasting evolution of orogenic belts when investigating the source of Au, ligands, metals, and metalloids in orogenic Au deposits.
Association of TRPV5, CASR, and CALCR genetic variants with kidney stone disease susceptibility in Egyptians through main effects and gene–gene interactions
Authors: Ali Fahmy T. , El-Azeem Eman M. Abd , Hekal Hala F. A. , El-Gizawy Mayada M. , Sayed Mohamed S. , Mandoh AbdAllah Y. , Soliman Ahmed F. 
Published: September 2022

AbstractKidney stone disease (KSD) represents an urgent medical problem because of increasing its prevalence. Several functional polymorphisms in genes involved in the renal handling of calcium were associated with KSD pathogenesis. Among those, the rs4236480 of transient receptor potential vanilloid member 5 (TRPV5) gene, the rs1801725 of calcium-sensing receptor (CASR) gene, and the rs1801197 of calcitonin receptor (CALCR) gene appear to be of great importance. Due to the scarce data on the Egyptians, this study aimed to evaluate the association of these candidate genetic variants with the risk of developing KSD in an Egyptian population. To do so, the biochemical parameters were measured along with the genotyping of the three polymorphisms using allelic discrimination assay in 134 KSD patients and 86 age and sex-matched healthy subjects. The results showed that the genotypic distributions and allelic frequencies of the studied variants were significantly different between cases and controls. The three polymorphisms increased the risk of KSD significantly under all the tested genetic models (OR ranges from 2.152 to 5.994), except for the recessive model of the CALCR rs1801197 polymorphism after Bonferroni correction. The gene–gene interaction analyzed by multifactor dimensionality reduction selected the three-locus combination as the best model associated with the susceptibility to KSD with OR 9.706. Further, synergistic interactions were identified between TRPV5 rs4236480 and CALCR rs1801197 variants and CASR rs1801725 and CALCR rs1801197 variants. In conclusion, the TRPV5 rs4236480, CASR rs1801725, and CALCR rs1801197 polymorphisms showed a significant association with the risk of KSD in the Egyptian population. Furthermore, their complex interactions might have an impact on the genetic susceptibility to develop KSD.
Long-Term Effectiveness and Safety of Femoropopliteal Drug-Coated Balloon Angioplasty : 5-Year Results of the Randomized Controlled EffPac Trial
Authors: Teichgräber Ulf , Lehmann Thomas , Ingwersen Maja , Aschenbach René , Zeller Thomas , Brechtel Klaus , Blessing Erwin , Lichtenberg Michael , von Flotow Peter , Heilmeier Britta , Sixt Sebastian , Brucks Steffen , Erbel Christian , Beschorner Ulrich , Werk Michael , Riambau Vicenç , Wienke Andreas , Klumb Christof , Thieme Markus , Scheinert Dierk 
Published: September 2022

AbstractPurposeThis study aimed to assess 5-year effectiveness and safety of femoropopliteal angioplasty with the Luminor® 35 drug-coated balloon (DCB).Materials and MethodsThe EffPac trial was a prospective, multicenter, randomized controlled trial that enrolled 171 patients of Rutherford category 2 to 4 with medium length femoropopliteal lesions. Patients were allocated 1:1 to either Luminor® 35 DCB angioplasty or plain old balloon angioplasty (POBA). Assessment at 5 years included primary patency, freedom from clinically driven target lesion revascularization (CD-TLR), clinical improvement, and target limb amputation. Long-term vital status was ascertained in 97.1% of the participants.ResultsKaplan–Meier curves at 5 years demonstrate a primary patency of 61.4% after DCB angioplasty and 53.5% after POBA (log-rankp = 0.040) with a decreasing difference throughout the observation period. Freedom from TLR was 82.1% and 73.7%, respectively (log-rankp = 0.050). Incidence of primary clinical improvement was similar between groups (61% DCB vs. 64% POBA,p = 0.94). Major target limb amputation was necessary in one POBA-group participant. Freedom from all-cause death at 5 years was 88.5% after DCB and 86.0% after POBA (log-rankp = 0.34).ConclusionsPrimary patency after femoropopliteal DCB angioplasty remained superior to POBA throughout 5 years, however, with decreasing difference. Clinical improvement, freedom from TLR, and all-cause mortality were similar between groups over the long term. (Effectiveness of Paclitaxel-Coated Luminor® Balloon Catheter Versus Uncoated Balloon Catheter in the Superficial Femoral Artery [EffPac]; NCT02540018).
Relevance of dynamic variables in multicategory choice models
Authors: Hruschka Harald 
Published: September 2022

AbstractWe investigate the relevance of dynamic variables that reflect the purchase history of a household as independent variables in multicategory choice models. To this end, we estimate both homogeneous and finite mixture variants of the multivariate logit model. We consider two types of dynamic variables. Variables of the first type, which previous publications on multicategory choice models have ignored, are exponentially smoothed category purchases, which we simply call category loyalties. Variables of the second type are log-transformed times since the last purchase of any category. Our results clearly show that adding dynamic variables improves statistical model performance with category loyalties being more important than log-transformed times. The majority of coefficients of marketing variables (features, displays, and price reductions), pairwise category interactions, and cross-category relations differ between models either including or excluding dynamic variables. We also measure the effect of marketing variables on purchase probabilities of the same category (own effects) and on purchase probabilities of other categories (cross effects). This exercise demonstrates that the model without dynamic variables tends to overestimate own effects of marketing variables in many product categories. This positive omitted variable bias provides another explanation for the well-known problem of “overpromotion” in retailing.
On the Dynamics of a Heavy Symmetric Ball that Rolls Without Sliding on a Uniformly Rotating Surface of Revolution
Authors: Dalla Via Marco , Fassò Francesco , Sansonetto Nicola 
Published: September 2022

AbstractWe study the class of nonholonomic mechanical systems formed by a heavy symmetric ball that rolls without sliding on a surface of revolution, which is either at rest or rotates about its (vertical) figure axis with uniform angular velocity $$\Omega $$
Ω
. The first studies of these systems go back over a century, but a comprehensive understanding of their dynamics is still missing. The system has an $$\mathrm {SO(3)}\times \mathrm {SO(2)}$$

SO
(
3
)

×

SO
(
2
)

symmetry and reduces to four dimensions. We extend in various directions, particularly from the case $$\Omega =0$$

Ω
=
0

to the case $$\Omega \not =0$$

Ω
≠
0

, a number of previous results and give new results. In particular, we prove that the reduced system is Hamiltonizable even if $$\Omega \not =0$$

Ω
≠
0

and, exploiting the recently introduced “moving energy,” we give sufficient conditions on the profile of the surface that ensure the periodicity of the reduced dynamics and hence the quasiperiodicity of the unreduced dynamics on tori of dimension up to three. Furthermore, we determine all the equilibria of the reduced system, which are classified in three distinct families, and determine their stability properties. In addition to this, we give a new form of the equations of motion of nonholonomic systems in quasi-velocities which, at variance from the well-known Hamel equations, use any set of quasi-velocities and explicitly contain the reaction forces.
Large field Digital Image Plane Holography with a double cavity high speed laser
Authors: Lobera Julia , Arroyo Mª Pilar , Roche Eva Mª , Andrés Nieves , Sancho Irene , Vernet Antón , Pallarés Jordi , Palero Virginia 
Published: September 2022

AbstractThe three velocity components in a fluid plane can be measured by applying Digital Image Plane Holography. This technique is limited by the laser coherence length, which reduces its application with high speed lasers that, generally, have a very short coherence length. In addition, the use of a double cavity can also imply a small wavelength difference between the two laser beams. In this work, we present an improved Optical Path Length Enlarging Device that allows the velocity measurement, in a 2D field whose width is four times larger than the laser coherence length. The optical set-up and the procedure for measuring in a larger field (ten times the laser coherence length) were optimized, and the issues derived from the laser spatial and temporal coherence and wavelength changes were analyzed and solved. Digital Image Plane Holography with the Optical Path Length Enlarging Device and Particle Image Velocimetry were applied for measuring the whole velocity field in the central plane of a cylindrical cavity with a rotating lid, for two Reynolds numbers (800 and 2000), showing both of them a very good agreement with the numerical simulations.
Graphical abstract
Association of prebiotic fiber intake with colorectal cancer risk: the PrebiotiCa study
Authors: Turati Federica , Concina Federica , Rossi Marta , Fiori Federica , Parpinel Maria , Taborelli Martina , Giacosa Attilio , Crispo Anna , Pagan Eleonora , Rosato Valentina , Negri Eva , La Vecchia Carlo 
Published: September 2022

Abstract
Purpose
To evaluate the association between the intake of specific fibers with prebiotic activity, namely inulin-type fructans (ITFs), fructooligosaccharides (FOSs) and galactooligosaccharides (GOSs), and colorectal cancer risk.

Methods
Within the PrebiotiCa study, we used data from a multicentric case–control study conducted in Italy and including 1953 incident, histologically confirmed, colorectal cancer patients and 4154 hospital controls. The amount of six prebiotic molecules [ITFs, nystose (FOS), kestose (FOS), 1F-β-fructofuranosylnystose (FOS), raffinose (GOS) and stachyose (GOS)] in a variety of foods was quantified via laboratory analyses. Subjects’ prebiotic fiber intake was estimated by multiplying food frequency questionnaire intake by the prebiotic content of each food item. The odds ratios (OR) of colorectal cancer for quintiles of intakes were derived from logistic regression models including terms for major confounders and total energy intake.

Results
GOSs intake was inversely associated with colorectal cancer risk. The OR for the highest versus the lowest quintile of intake were 0.73 (95% confidence interval, CI 0.58–0.92) for raffinose and 0.64 (95% CI 0.53–0.77) for stachyose, with significant inverse trends across quintiles. No association was found with total ITFs and FOSs. The association with stachyose was stronger for colon (continuous OR = 0.74, 95% CI 0.66–0.83) than rectal cancer (OR = 0.89, 95% CI 0.79–1.02).

Conclusion
Colorectal cancer risk was inversely associated with the intake of dietary GOSs, but not ITFs and FOSs.
Influence of mental health literacy on help-seeking behaviour for mental health problems in the Swiss young adult community: a cohort and longitudinal case–control study
Authors: Osman N. , Michel C. , Schimmelmann B. G. , Schilbach L. , Meisenzahl E. , Schultze-Lutter F. 
Published: September 2022

AbstractPoor knowledge about mental health disorders and their treatment likely contributes to the large treatment gap reported for mental health problems. Therefore, we studied the association between mental health literacy (MHL) and active help-seeking in a community sample. Participants were recruited from an add-on questionnaire study to the ‘Bern Epidemiological At-Risk’ (BEAR) study on 16–40-year-old community subjects of the Swiss canton Bern. At baseline, data of N = 1504, and at 3-year follow-up, data of N = 535 were available. Based on an unlabelled case vignette (on depression or schizophrenia), MHL was assessed by the questionnaire of Angermeyer and colleagues. Cross-sectional and longitudinal baseline predictors of help-seeking were analysed using path analyses. Additionally, sensitivity analyses of the prospective model were computed for sex, vignette, and baseline mental health problems/disorders. Cross-sectionally, help-seeking was associated with non-endorsement of biogenetic causal explanations, presence of mental health problems/disorders, help-seeking before baseline, poorer functioning, and lower health satisfaction. The prospective model was similar; yet, help-seeking at follow-up was associated with endorsements of the causal explanation ‘biogenetics’ and, additionally, ‘childhood trauma’ but not the presence of baseline mental health problems/disorders. Sensitivity analyses revealed a significant impact on sex, vignette, and mental health problems/disorders. For example, actual functional problems were predictive in males, while health satisfaction was predictive in females. Our findings indicate that future studies on drivers of help-seeking should assess very large community samples with case vignettes on different mental disorders to examine appropriate subgroups and their likely interaction to address group-specific factors in awareness campaigns.
Bubbles in discrete-time models
Authors: Herdegen Martin , Kreher Dörte 
Published: September 2022

AbstractWe introduce a new definition of bubbles in discrete-time models based on the discounted stock price losing mass under an equivalent martingale measure at some finite drawdown. We provide equivalent probabilistic characterisations of this definition and give examples of discrete-time martingales that are bubbles and others that are not. In the Markovian case, we provide sufficient analytic conditions for the presence of bubbles. We also show that the existence of bubbles is directly linked to the existence of a non-trivial solution to a linear Volterra integral equation of the second kind involving the Markov kernel. Finally, we show that our definition of bubbles in discrete time is consistent with the strict local martingale definition of bubbles in continuous time in the sense that a properly discretised strict local martingale in continuous time is a bubble in discrete time.
The argument from Evel (Knievel): daredevils and the free energy principle
Authors: Carls-Diamante Sidney 
Published: September 2022

AbstractMuch of the literature on thefree energy principle (FEP)has focused on how organisms maintain homeostasis amidst a constantly changing environment. A fundamental feature of the FEP is that biological entities are “hard-wired” towards self-preservation.However, contrary to this notion, there do exist organisms that appear to seek out rather than avoid conditions that pose an elevated risk of serious injury or death, thereby jeopardizing their physiological integrity. Borrowing a term used in 1990s popular culture to refer to stunt performers like Evel Knievel, these organisms that exhibit such behavioural characteristics can be referred to asdaredevils.This paper presents the case of daredevils as a challenge to the FEP’s homeostasis- and optimization-based construal of biological systems. It also introduces three possible explanatory strategies by which the FEP can account for daredevils. The broader objective of the paper is to enhance the FEP’s ability to account for a diverse range of complex behaviour.
A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels
Authors: Wallimann Hannes , Imhof David , Huber Martin 
Published: September 2022

AbstractWe propose a detection method for flagging bid-rigging cartels, particularly useful when cartels are incomplete. Our approach combines screens, i.e., statistics derived from the distribution of bids in a tender, with machine learning to predict the probability of collusion. As a methodological innovation, we calculate such screens for all possible subgroups of three or four bids within a tender and use summary statistics like the mean, median, maximum, and minimum of each screen as predictors in the machine learning algorithm. This approach tackles the issue that competitive bids in incomplete cartels distort the statistical signals produced by bid rigging and it outperforms previously suggested methods in applications to incomplete cartels based on empirical data from Switzerland.