bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modelling Thermal Diffusivity of Heterogeneous Materials Based on Thermal Diffusivities of Components with Implications for Thermal Diffusivity and Thermal Conductivity Measurement
Authors: Carson James K. 
Published: May 2022

AbstractEffective thermal diffusivity models are useful for predicting thermal diffusivities of heterogeneous materials. The literature contains models that may be broadly categorised into four different types: (1) effective thermal diffusivity for highly specific applications (e.g. empirical curve fitting of measured data); (2) effective thermal diffusivity as a weighted averages of the components’ thermal diffusivities and volume fractions; (3) effective thermal diffusivity calculated from effective thermal conductivity, effective density and effective specific heat capacity known as the ‘lumped parameter’ approach (which is the most commonly employed method); (4) comparison of times for a fixed quantity of heat to be transferred to a composite material with the heat transfer time for a material with an effective thermal diffusivity. The latter three modelling methods were tested on theoretical composite materials, and none performed consistently better than the others, suggesting there is scope for further work in this area. Of the three methods, the least accurate on average was the lumped parameter method. Given that this relationship is often used to derive thermal conductivity data from thermal diffusivity data (or vice versa), it is possible that significant error is introduced to the derived property in addition to any measurement error, which is often not acknowledged.
The roots of COVID-19 vaccine hesitancy: evidence from Hungary
Authors: Bíró-Nagy András , Szászi Áron József 
Published: May 2022

AbstractThis research explores the determinants of vaccine hesitancy during the third wave of the COVID-19 pandemic in Hungary. This article utilizes data from in-person public opinion research conducted in Hungary (March 2021, N = 1000). Government supporters, older people (60 +) and COVID-19 survivors were more likely to accept vaccination, but these variables lose significance, once controlling for personal fears and pandemic-related attitudes. COVID-19 related fears and precautious behavior reduce, while general level of fears increase the probability of vaccine hesitancy. Fear from partner’s aggression and higher levels of financial security negatively correlate with vaccine hesitancy. Our study separately analyzes the effect of various pandemic-related conspiratorial beliefs on vaccine hesitancy. All analyzed false beliefs have a significant positive effect on vaccine hesitancy, but the strongest predictors are vaccine-related conspiracy theories (“microchip” and “population control” theories) and virus denial.
Developmental Relations Between Bullying Victimization and Suicidal Ideation in Middle Adolescence and Emerging Adulthood: Do Internalizing Problems and Substance Use Mediate Their Links?
Authors: Zhu Xinxin , Griffiths Helen , Eisner Manuel , Hepp Urs , Ribeaud Denis , Murray Aja Louise 
Published: May 2022

AbstractPrevious research has suggested that bullying victimization is associated with higher suicidal risk among young people; however, the mechanisms underlying this relation have not been well examined. The current study aimed to illuminate the developmental links between bullying victimization and suicidal ideation by examining the mediating roles of depressive symptoms, anxiety symptoms, and substance use. The study sample consisted of n = 1465 participants (51.7% male) from the normative z-proso study. Using random intercept cross-lagged panel models and three waves of longitudinal data (ages 15, 17, and 20), the hypothesized mediation effects at the within-person level were tested while partialling out between-person confounds. The results suggested that, at the within-person level, bullying victimization did not predict subsequent suicidal ideation via depressive symptoms, anxiety symptoms, or substance use. However, age 15 bullying victimization predicted within-person increases in age 17 depressive symptoms and suicidal ideation. In addition, depressive symptoms at age 15 and tobacco and cannabis use at age 17 were associated with within-person increases in bullying victimization at ages 17 and 20, respectively. The results also indicated that cannabis use and suicidal ideation were positively and reciprocally related over time. Future studies collecting data at multiple timescales are needed to understand proximal and longer-term mechanisms underlying the relation between bullying victimization and suicidality.
Optimal Double Stopping Problems for Maxima and Minima of Geometric Brownian Motions
Authors: Gapeev Pavel V. , Kort Peter M. , Lavrutich Maria N. , Thijssen Jacco J. J. 
Published: May 2022

AbstractWe present closed-form solutions to some double optimal stopping problems with payoffs representing linear functions of the running maxima and minima of a geometric Brownian motion. It is shown that the optimal stopping times are th first times at which the underlying process reaches some lower or upper stochastic boundaries depending on the current values of its running maximum or minimum. The proof is based on the reduction of the original double optimal stopping problems to sequences of single optimal stopping problems for the resulting three-dimensional continuous Markov process. The latter problems are solved as the equivalent free-boundary problems by means of the smooth-fit and normal-reflection conditions for the value functions at the optimal stopping boundaries and the edges of the three-dimensional state space. We show that the optimal stopping boundaries are determined as the extremal solutions of the associated first-order nonlinear ordinary differential equations. The obtained results are related to the valuation of perpetual real double lookback options with floating sunk costs in the Black-Merton-Scholes model.
Convergence and an Explicit Formula for the Joint Moments of the Circular Jacobi $$\beta $$-Ensemble Characteristic Polynomial
Authors: Assiotis Theodoros , Gunes Mustafa Alper , Soor Arun 
Published: May 2022

AbstractThe problem of convergence of the joint moments, which depend on two parameters s and h, of the characteristic polynomial of a random Haar-distributed unitary matrix and its derivative, as the matrix size goes to infinity, has been studied for two decades, beginning with the thesis of Hughes (On the characteristic polynomial of a random unitary matrix and the Riemann zeta function, PhD Thesis, University of Bristol, 2001). Recently, Forrester (Joint moments of a characteristic polynomial and its derivative for the circular $$\beta $$
β
-ensemble, arXiv:2012.08618, 2020) considered the analogous problem for the Circular $$\beta $$
β
-Ensemble (C$$\beta $$
β
E) characteristic polynomial, proved convergence and obtained an explicit combinatorial formula for the limit for integer s and complex h. In this paper we consider this problem for a generalisation of the C$$\beta $$
β
E, the Circular Jacobi $$\beta $$
β
-ensemble (CJ$$\beta \text {E}_\delta $$

β

E
δ

), depending on an additional complex parameter $$\delta $$
δ
and we prove convergence of the joint moments for general positive real exponents s and h. We give a representation for the limit in terms of the moments of a family of real random variables of independent interest. This is done by making use of some general results on consistent probability measures on interlacing arrays. Using these techniques, we also extend Forrester’s explicit formula to the case of real s and $$\delta $$
δ
and integer h. Finally, we prove an analogous result for the moments of the logarithmic derivative of the characteristic polynomial of the Laguerre $$\beta $$
β
-ensemble.
Optimally ordering IDK classifiers subject to deadlines
Authors: Baruah Sanjoy , Burns Alan , Davis Robert I. , Wu Yue 
Published: May 2022

AbstractA classifier is a software component, often based on Deep Learning, that categorizes each input provided to it into one of a fixed set of classes. An IDK classifier may additionally output “I Don’t Know” (IDK) for certain inputs. Multiple distinct IDK classifiers may be available for the same classification problem, offering different trade-offs between effectiveness, i.e. the probability of successful classification, and efficiency, i.e. execution time. Optimal offline algorithms are proposed for sequentially ordering IDK classifiers such that the expected duration to successfully classify an input is minimized, optionally subject to a hard deadline on the maximum time permitted for classification. Solutions are provided considering independent and dependent relationships between pairs of classifiers, as well as a mix of the two.
A Fully Coupled Hydro-Mechanical-Gas Model Based on Mixture Coupling Theory
Authors: Abdullah Sulaiman , Ma Yue , Chen Xiaohui , Khan Amirul 
Published: May 2022

Abstract
The interactions of gas migration, water transport and mechanical deformation of rocks are significant for geoenergy industry (e.g. Carbon Capture and Storage, radioactive waste disposal); however, the hydro-mechanical-gas coupled model remains a challenge due to the gap between multiple disciplines (e.g. Geomechanics and Geoenergy). This work presents a novel hydro-mechanical framework model of fully coupled two-phase fluid transport in a deformable porous media through extending mixture coupling theory which is based on non-equilibrium thermodynamics. The main difference between the mixture coupling theory approach and other approaches (ex., mechanic's approach) is that the mixture coupling theory uses energy and entropy analysis by utilizing the unbalanced thermodynamics, while the mechanic's approach analyses the stress–strain tensors. The gas free energy has been included in the Helmholtz free energy balance equation. Three main governing equations have been obtained for solid, liquid and gas phases. Benchmark experiments and modelling based on classical continuum mechanics approaches are used to validate the model by comparing the measured data to the simulation results. The results have a good agreement with experimental data, demonstrating that gas migration has a great influence on water transport and deformation of the solids. The novelty of this study is that it is providing a new approach to study the multiphase flow coupling in porous media rather than the classic mechanic’s approach.

Article Highlights

A Hydro-Mechanical-Gas (HMG) model has been developed using the mixture coupling theory approach.

The hydro-mechanical framework equations were established by using non-equilibrium thermodynamic and Darcy law.

The model has been validated using published experimental data and the results of other researchers with different approaches.
A retrospective study on dioxins and dioxin-like polychlorinated biphenyls in milk and dairy products from the Latium region (Italy) over a 7-year study period (2011–2017)
Authors: Battisti Sabrina , Scaramozzino Paola , Boselli Carlo , Busico Fabio , Berretta Sesto , Sala Marcello , Neri Bruno 
Published: May 2022

AbstractThis study reports the data of polychlorinated dibenzo-p-dioxins (PCDDs), -furans (PCDFs), and polychlorinated biphenyls dioxin-like (dl PCBs) measured in a total of 260 samples of the dairy supply chain collected over a period of 7 years (2011–2017) in the Latium region (Italy). Levels and average profiles of congeners were reported for each group of the analyzed dairy matrices, and any differences between different sampling strategies were considered (around likely pollutant sources or casual sampling). Of the samples, 95.4% resulted compliant with the regulated levels; only samples belonging to the “sheep bulk milk” matrix were found to be above either the action levels or the maximum levels (tot. 12 samples). Raw milk of the sheep species showed the highest averages (PCDD/F 0.248 and dl PCB 0.966 WHO TEQ pg/g of fat) compared to the milk of other species. The buffalo milk showed a content of dl PCB significantly lower (dl PCB: 0.371 WHO TEQ pg/g of fat) than the sheep milk (p<0.05). Dioxins were found to be superior to furans in almost all dairy products, except in the noncompliant samples where furans were higher. The OCDD was found to be the most abundant congener in almost all dairy products. This study provides a first list of reference values for background contamination of the dairy supply chain in the Latium region. These pre-existing values will be useful in all cases of environmental pollution to identify critical situations.
The value of ultrasound and magnetic resonance imaging scoring systems in explaining handgrip strength and functional impairment in rheumatoid arthritis patients: a pilot study
Authors: Salaffi Fausto , Carotti Marina , Di Carlo Marco , Ceccarelli Luca , Farah Sonia , Giovagnoni Andrea 
Published: May 2022

AbstractPurposeThe goal of this study is to investigate the relationship between joint inflammation and damage of the wrists and hands, measured by semiquantitative ultrasound and magnetic resonance imaging scoring systems, with functional disability and handgrip strength (HGs).Materials and methodsConsecutive adult RA patients with active disease, as defined by a Disease Activity Score 28 joints C-reactive protein (DAS28-CRP) > 3.2, underwent a cross-sectional evaluation comprehensive of a clinimetric assessment, an HGs evaluation, an ultrasound assessment aimed at calculating the UltraSound-CLinical ARthritis Activity (US-CLARA), and a magnetic resonance imaging scored according to the modified Simplified Rheumatoid Arthritis Magnetic Resonance Imaging Score (mod SAMIS). The Spearman’s rho correlation coefficient was used to test the correlations.ResultsSixty-six patients with RA were investigated (age 55.6 ± 12.2 years). The mod SAMIS total score and the US-CLARA had a weak but significant correlation (rho = 0.377,p = 0.0018). Among the mod SAMIS sub-scores, there was a significant relationship between mod SAMIS bone edema (SAMIS-BME) and US-CLARA (rho = 0.799,p < 0.001) and mod SAMIS synovitis (SAMIS synovitis) and US-CLARA (rho = 0.539,p < 0.001). There were also significant negative relationships between the HGs score and the mod SAMIS total score and US-CLARA (rho = − 0.309,p = 0.011 and rho = − 0.775,p < 0.0001, respectively).ConclusionsBME and synovitis have an influence on the function of the upper extremities. The US-CLARA and the mod SAMIS total score are intriguing options for semiquantitative assessment of joint inflammation and damage in RA.
Heterogeneity in agricultural households and transition paths in southern Tibet
Authors: Zhang Jing , Brown Colin , Waldron Scott , Yadav Lava , Zhuoga De-qing 
Published: May 2022

AbstractSmallholder livelihoods in agricultural areas in Tibet Autonomous Region, China (Tibet for short) have traditionally been based on subsistence mixed crop-livestock systems. Like many parts of China and the developing world, rural Tibet is undergoing rapid change in agricultural development, boosted by links with the off-farm sector. However, the agricultural transition process in Tibet has not been linear, is affected by policies particular to the region, and varies significantly for different categories of rural actors. This paper analyses heterogeneity of household types in agricultural areas of southern Tibet and how household structures and characteristics result in different agricultural development pathways. Data is drawn from a stratified random survey of 144 households in three townships in southern Tibet and analysed through three methods: cluster analysis, bio-economic modelling, and analysis of household perceptions and attitudes to change. The analysis allows for the identification of three key household types — semi-subsistence, pluriactive and semi-commercial — organised along a continuum of intensification, commercialisation, specialisation and productivity. The study demonstrates the diversity of household farming systems in Tibet which in turn highlights the need for disaggregated analysis and tailored development policies and strategies. However, the analysis also reveals commonalities in development paths between groups, where all farm types are more interested in pursuing income and livelihood goals through an increase in productivity than through an increase in scale. Farmers in all systems choose to retain agriculture as a base from which to pursue livelihood strategies, especially through off-farm activities. Accounting for this household heterogeneity is important on several levels. First, it provides more granular detail on the process of development in rural areas of Tibet that have been very difficult to access in English literature especially in recent years. Second, the characteristics of the case study in agricultural areas of Tibet — especially the mixed agricultural-pastoral systems, high levels of seasonality, heavy state investment and increased integration with the other regions of China — may contribute to the broader agricultural development study. Third, policymakers in the central and local governments may be interested in how the household heterogeneity may affect — or be affected by — policies to increase agricultural productivity, intensify systems, change the composition of crop-livestock systems, promote rural-urban transformation and pursue environmental objectives, especially grassland degradation.
Supportive therapies in patients with advanced adrenocortical carcinoma submitted to standard EDP-M regimen
Authors: Turla Antonella , Laganà Marta , Grisanti Salvatore , Abate Andrea , Ferrari Vittorio Domenico , Cremaschi Valentina , Sigala Sandra , Consoli Francesca , Cosentini Deborah , Berruti Alfredo 
Published: May 2022

Abstract
Purpose
The management of patients with advanced/metastatic adrenocortical carcinoma (ACC) is challenging, EDP-M (etoposide, doxorubicin, cisplatin combined with mitotane) is the standard regimen. However, it is quite toxic, so an adequate supportive therapy is crucial to reduce as much as possible the side effects and maintain the dose intensity of cytotoxic agents.

Methods
We describe the main side effects of the EDP-M scheme and the best way to manage them based on the experience of the Medical Oncology Unit of the Spedali Civili of Brescia. We also deal with the administration of EDP-M in specific frail patients, such as those with huge disease extent and poor performance status (PS) and those with mild renal insufficiency.

Results
In patients with hormone secreting ACC the rapid control of Cushing syndrome using adrenal steroidogenesis inhibitors such as metyrapone or osilodrostat is mandatory before starting EDP-M. Primary prophylaxis of neutropenia with Granulocyte-Colony Stimulating Factors is crucial and should be introduced at the first chemotherapy cycle. Possible mitotane induced hypoadrenalism should be always considered in case of persistent nausea and vomiting and asthenia in the interval between one cycle to another. In case of poor PS. A 24 h continuous infusion schedule of cisplatin could be an initial option in patients with poor PS as well as to reduce the risk of nefrotoxocity in patients with mild renal impairment.

Conclusion
A careful and accurate supportive care is essential to mitigate EDP-M side effects as much as possible and avoid that, due to toxicity, patients have to reduce doses and or postpone cytotoxic treatment with a negative impact on efficacy of this chemotherapy regimen.
Impact of thymidine phosphorylase and CD163 expression on prognosis in stage II colorectal cancer
Authors: Kaidi Donia , Szeponik Louis , Yrlid Ulf , Wettergren Yvonne , Bexe Lindskog Elinor 
Published: May 2022

Abstract
Background
Tumor-associated macrophages (TAM) are known to facilitate colorectal cancer (CRC) growth. High macrophage infiltration in thymidine phosphorylase (TYMP) expressing CRC may correspond to poor prognosis. The prognostic impact of the expression CD163, a receptor associated with TAM, and TYMP in stroma, respectively, tumor tissue is not yet established. The aim of this study was to identify the potential associations between TYMP and CD163 expression levels and relapse-free survival (RFS) of patients with stage II CRC, and if microdissection is of importance.

Methods
Stage II CRC patients, radically resected with relapse (n = 104), were matched to patients with a 5-year relapse-free follow-up (n = 206). Gene expression of TYMP and CD163 was analyzed in snap-frozen tumor tissues and in microdissected formalin-fixed tumor tissues separated into tumor epithelium and stroma.

Results
TYMP expression was high in poorly differentiated tumors, right-sided CRC, and tumors with high microsatellite instability CD163-expressing macrophages near tumor epithelial cells had high expression in poorly differentiated and T4 tumors. High TYMP expression in tumor epithelial cells was in the multivariate analyses associated with shorter relapse-free survival (hazard ratio 1.66; 95% confidence interval: 1.09–2.56; p < 0.05).

Conclusions
TYMP expression in tumor epithelial cells was associated with RFS and emphasizes the need for tissue microdissection. Additional studies are needed to establish whether TYMP and CD163 could add clinically relevant information to identify high-risk stage II patients that could benefit from adjuvant chemotherapy.
From private digital platforms to public data spaces: implications for the digital transformation
Authors: Beverungen Daniel , Hess Thomas , Köster Antonia , Lehrer Christiane 
Published: May 2022

Abstract
Technological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence continue to drive the digital transformation of business and society. With the advent of platform-based ecosystems and their potential to address complex challenges, there is a trend towards greater interconnectedness between different stakeholders to co-create services based on the provision and use of data. While previous research on digital transformation mainly focused on digital transformation within organizations, it is of growing importance to understand the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems). In particular, the conceptualization and implications of public data spaces and related ecosystems provide promising research opportunities. This special issue contains five papers on the topic of digital transformation and, with the editorial, further contributes by providing an initial conceptualization of public data spaces' potential to foster innovative progress and digital transformation from a management perspective.
Assessment of new spectral indices and multi-seasonal ASTER data for gypsum mapping
Authors: Shuai Shuang , Zhang Zhi , Lv Xinbiao , Hao Lina 
Published: May 2022

AbstractAdvanced spaceborne thermal emission and reflection radiometer (ASTER) data and different spectral indices were employed to map gypsum minerals. However, most proposed gypsum indices are designed based on the 2.21 μm gypsum absorption, overlapping with most hydroxy-bearing minerals. Moreover, the seasonal mutual transformation between gypsum, bassanite, and anhydrite may lead to seasonal reflectance variability of gypsum formation pixels, affecting the classification accuracy of gypsum indices. In this research, the feasibility of 2.26 μm (ASTER band7) reflectance absorption for gypsum mapping was assessed, using lab and ASTER reflectance. On the basis of this, two new ASTER gypsum spectral indices (GI1: B4*B8/B6*B7; GI2: B4*B8/B7*B7) were proposed and applied to exclude the interference of hydroxyl-bearing minerals effectively. Seasonal reflectance variability of gypsum formation pixels was confirmed, and it causes the accuracy difference of gypsum indices for multi-seasonal ASTER data. The GI1 achieves the most robust accuracy for multi-seasonal ASTER data with average areas under receiver operator characteristic (ROC) curve of 98.5% and 98.7% for summer and winter ASTER data. Therefore, the GI1 can be used for gypsum mineral mapping, especially in the areas where clay minerals and other hydroxyl-containing minerals are widely distributed.