bluuebunny/crossref_metadata_2025_split huggingface dataset:
Born global: antecedents and consequences of innovation capabilities
Authors: Malodia Suresh , Dhir Amandeep , Alshibani Safiya Mukhtar , Christofi Michael 
Published: August 2023

AbstractInnovation capabilities are considered a key factor impacting the success and sustainability of born global firms across the world. These capabilities are even more significant for the born global firms from emerging markets. In this study, we propose an overarching conceptual framework called ICONIC to explain the factors that are critical for developing innovation capabilities in born global firms. Using grounded theory with a triangulation approach, we define innovation capabilities as a multi-dimensional construct with three sub-dimensions: business model innovation, improvisation abilities, and personalized problem-solving. Furthermore, we identify three antecedents (firm-related factors, competition-related factors, and customer orientation) leading to innovation capabilities and discuss the tangible and intangible outcomes of innovation capabilities. In this study, we also propose a set of propositions describing the nature of the relationship between different constructs in our framework. Finally, we discuss the theoretical contributions and implications for born global firms and policymakers to realize the strategic goals of internationalization.
Fire Performance of Steel-Timber Hybrid Beam Section
Authors: Malaska Mikko , Alanen Mika , Salminen Mikko , Jokinen Timo , Ranua Risto 
Published: August 2023

AbstractSlim-floor-type of steel-timber hybrid floor systems which use steel beams contained within the depth of the cross-laminated timber (CLT) floor slab offer many benefits, but there is still very little research available on the fire resistance performance of these systems. In the study presented in this paper two furnace tests and numerical simulations have been conducted to investigate the thermal profiles of the steel member and CLT slabs and to obtain information on the temperature development and charring of the hybrid beam section when it is exposed to standard fire conditions. Also, the effects of intumescent fire protection on temperatures and charring performance were investigated. Numerical 2D thermal simulations for unprotected and protected cases were conducted using SAFIR software, and the agreement between experiments and numerical-analysis predictions were in general very good. The results show that intumescent protection reduces the temperatures of the steel and CLT components as well as charring depth significantly, and the start of charring at CLT slab support may be delayed if intumescent paint protection thicker than that required for the load bearing steel member is used. The result also showed that CLT temperatures exceed 100°C already in the early stages of the fire which decrease the strength and stiffness properties of CLT much before the start of charring. Therefore, the fire design of the CLT slab support should not only consider the char depth and residual cross-section analysis but also the reduction in strength.
An Attempt to Understand Relational Quantum Mechanics
Authors: Lahti Pekka , Pellonpää Juha-Pekka 
Published: August 2023

AbstractWe search for a possible mathematical formulation of some of the key ideas of the relational interpretation of quantum mechanics and study their consequences. We also briefly overview some proposals of relational quantum mechanics for an axiomatic reconstruction of the Hilbert space formulation of quantum mechanics.
Network Tomography with Partial Topology Knowledge and Dynamic Routing
Authors: Sartzetakis Ippokratis , Varvarigos Emmanouel 
Published: August 2023

AbstractNetworks are always evolving to meet the needs of progressing and novel applications. To this end, improved network capacity, latency and security are required. Monitoring is key to achieving these objectives. It is a cornerstone for the uninterrupted network operation and the applications’ QoS management. Network tomography uses a subset of monitoring information, corresponding to partial view of the network state, to estimate wide-sense network performance metrics. In this paper, we present a novel machine learning (ML) formulation for Network Tomography. It is novel in that its features are designed under the assumption that: (i) the existence of certain links of the network is not known (e.g., due to security reasons), (ii) the routing is dynamic (non-deterministic), i.e., for the same origin–destination node pair, a different route may be selected depending on the state of certain links. These assumptions are typically present in modern networks. The formulation can be used to estimate both additive and non-additive performance metrics. We evaluate our proposal using different ML algorithms: neural networks (NNs), Gaussian regression and linear regression with interactions. Our simulations indicate that our ML formulation has better estimation accuracy compared to traditional algebraic or other ML approaches that cannot or do not take into account these two hypotheses. Regarding the accuracy of the examined ML algorithms, the differences mainly depend on the additive or not nature of the network metrics.
Population pharmacokinetic modeling and dosing simulation of avalglucosidase alfa for selecting alternative dosing regimen in pediatric patients with late-onset pompe disease
Authors: Tiraboschi Gilles , Marchionni David , Tuffal Gilles , Fabre David , Martinez Jean-Marie , Haack Kristina An , Miossec Patrick , Kittner Barbara , Daba Nadia , Hurbin Fabrice 
Published: August 2023

AbstractAvalglucosidase alfa (AVAL) was approved in the United States (2021) for patients with late-onset Pompe disease (LOPD), aged ≥ 1 year. In the present study, pharmacokinetic (PK) simulations were conducted to propose alternative dosing regimens for pediatric LOPD patients based on a bodyweight cut-off. Population PK (PopPK) analysis was performed using nonlinear mixed effect modeling approach on pooled data from three clinical trials with LOPD patients, and a phase 2 study (NCT03019406) with infantile-onset Pompe disease (IOPD: 1–12 years) patients. A total of 2257 concentration-time points from 91 patients (LOPD, n = 75; IOPD, n = 16) were included in the analysis. The model was bodyweight dependent allometric scaling with time varying bodyweight included on clearance and distribution volume. Simulations were performed for two dosing regimens (20 mg/kg or 40 mg/kg) with different bodyweight cut-off (25, 30, 35 and 40 kg) by generating virtual pediatric (1–17 years) and adult patients. Corresponding simulated individual exposures (maximal concentration, Cmax and area under the curve in the 2-week dosing interval, AUC2W), and distributions were calculated. It was found that dosing of 40 mg/kg and 20 mg/kg in pediatric patients < 30 kg and ≥ 30 kg, respectively, achieved similar AVAL exposure (based on AUC2W) to adult patients receiving 20 mg/kg. PK simulations conducted on the basis of this model provided supporting data for the currently approved US labelling for dosing adapted bodyweight in LOPD patients ≥ 1 year by USFDA.
Inequalities for the generalized point pair function
Authors: Rainio Oona 
Published: August 2023

AbstractWe study a new generalized version of the point pair function defined with a constant α > 0. We prove that this function is a quasi-metric for all values of α > 0 and compare it to several hyperbolic-type metrics, such as the j∗-metric, the triangular ratio metric, and the hyperbolic metric. Most of the inequalities presented here have the best possible constants in terms of α. Furthermore, we research the distortion of the generalized point pair function under conformal and quasiregular mappings.
Emotion crafting: Individuals as agents of their positive emotional experiences
Authors: van der Kaap-Deeder Jolene , Wichstrøm Lars , Mouratidis Athanasios , Matos Lennia , Steinsbekk Silje 
Published: August 2023

AbstractThe literature on emotion regulation (ER) is vast and insightful, but little is known about the proactive regulation of positive emotions. Herein we coin the term emotion crafting (EC), which is defined as proactively aiming to strengthen one’s positive emotions through two sequential components: being aware of what can make one feel good (i.e., awareness component) and proactively engaging in behaviors to initiate, maintain, or increase positive emotions (i.e., action component). We present a self-report measure of EC [i.e., the Emotion Crafting Scale (ECS)] and provide details on its discriminant and concurrent validity. Data were collected among a sample of 326 Norwegian adults (49.7% female; Mage = 42.90 years, SD = 14.76) who were representative in terms of age (between 18 and 70), gender, and geographical location within Norway. Results yielded evidence for a 2-factor structure consisting of the components Awareness and Action, which related in an expected way to other measures of ER. Subsequent structural equation modeling showed that the awareness component related positively to indicators of well-being and negatively to internalizing symptoms via higher levels of EC action and positive affect, even after controlling for other measures of ER. These promising findings not only support favorable reliability and validity of the ECS, but also underscore the importance of examining proactive regulation of positive emotions as a potential predictor of mental health. Future research is needed to examine the etiological role of EC in individuals’ psychological functioning.
The power of integrating proximal and high-resolution remote sensing for mapping SOC stocks in agricultural peatlands
Authors: de Sousa Mendes Wanderson , Sommer Michael , Koszinski Sylvia , Wehrhan Marc 
Published: August 2023

Abstract
Background and aims
Soil electrical conductivity (ECa) data derived from electromagnetic induction (EMI) is valuable for estimating peat thickness and soil organic carbon stocks (SOCstocks). However, generating ECa maps locally using geostatistics limits the coverage area. This study explores the use of digital soil mapping (DSM) with random forest (RF) and universal kriging (UK) to create high-resolution ECa maps from field survey EMI data. The objective is to enhance the predictive accuracy of SOCstocks models in peatlands by incorporating these ECa maps as environmental variables.

Methods
Three scenarios were evaluated, combining different environmental variables and modelling techniques for ECa mapping. Scenario 1 used spectral indices from RapidEye satellite data and RF. Scenario 2 included spectral indices and terrain derivatives from LiDAR, with RF. Scenario 3 integrated spectral indices, terrain derivatives from LiDAR, and UK. Afterwards, we evaluated the effectiveness of adding ECa maps as environmental variables for SOCstocks mapping. Finally, we incorporated ECa maps from scenario 2 and RF in three ways: (a) scenario 2 variables only, (b) ECa2 with scenario 2 variables, and (c) ECa3 with scenario 2 variables.

Results
Scenarios 2 (ECa2) and 3 (ECa3) outperformed scenario 1 (ECa1). The inclusion of ECa maps significantly improved the accuracy of SOCstocks models.

Conclusion
Our study demonstrates that DSM, combined with RF and UK techniques, enables the generation of high-resolution ECa maps from field surveys in peatlands. Incorporating these ECa maps as environmental variables enhances the accuracy of SOCstocks mapping, providing valuable insights for peatland management and carbon stock estimation.

Graphical abstract
COVID-19 and All-Cause Mortality by Race, Ethnicity, and Age Across Five Periods of the Pandemic in the United States
Authors: Luck Anneliese N. , Elo Irma T. , Preston Samuel H. , Paglino Eugenio , Hempstead Katherine , Stokes Andrew C. 
Published: August 2023

AbstractRacial/ethnic and age disparities in COVID-19 and all-cause mortality during 2020 are well documented, but less is known about their evolution over time. We examine changes in age-specific mortality across five pandemic periods in the United States from March 2020 to December 2022 among four racial/ethnic groups (non-Hispanic White, non-Hispanic Black, Hispanic, and non-Hispanic Asian) for ages 35+. We fit Gompertz models to all-cause and COVID-19 death rates by 5-year age groups and construct age-specific racial/ethnic mortality ratios across an Initial peak (Mar–Aug 2020), Winter peak (Nov 2020–Feb 2021), Delta peak (Aug–Oct 2021), Omicron peak (Nov 2021–Feb 2022), and Endemic period (Mar–Dec 2022). We then compare to all-cause patterns observed in 2019. The steep age gradients in COVID-19 mortality in the Initial and Winter peak shifted during the Delta peak, with substantial increases in mortality at working ages, before gradually returning to an older age pattern in the subsequent periods. We find a disproportionate COVID-19 mortality burden on racial and ethnic minority populations early in the pandemic, which led to an increase in all-cause mortality disparities and a temporary elimination of the Hispanic mortality advantage at certain age groups. Mortality disparities narrowed over time, with racial/ethnic all-cause inequalities during the Endemic period generally returning to pre-pandemic levels. Black and Hispanic populations, however, faced a younger age gradient in all-cause mortality in the Endemic period relative to 2019, with younger Hispanic and Black adults in a slightly disadvantageous position and older Black adults in a slightly advantageous position, relative to before the pandemic.
Turbulence in Sources of Decimetric Flare Continua
Authors: Karlický Marian 
Published: August 2023

AbstractDecimetric continua are commonly observed during long-lasting solar flares. Their frequency boundaries vary with time. We studied frequency boundary variations using the power spectrum analysis. Analyzing five decimetric continua, we found that their power spectra have a power-law form with the power-law index close to the Kolmogorov turbulence index −5/3. The same power index was also found in the power spectra of radio flux variations at frequencies in the range of the frequency boundary variations. Moreover, these frequency boundary variations were highly correlated with the radio flux ones. We interpret these results to be due to turbulent density variations in the reconnection plasma outflow to the termination shock formed above flare loops. In three cases of decimetric continua, we estimated the level of the plasma density turbulence to be 7.6 – 11.2% of the mean plasma density. We think that the analysis of variations of decimetric continua can be used in studies of the plasma turbulence in solar flares.
Impulsive Input-to-State Stabilization of an Ensemble
Authors: Atamas Ivan , Dashkovskiy Sergey , Slynko Vitalii 
Published: August 2023

AbstractWe consider an ensemble of trajectories generated by a linear differential equation subjected to disturbance and parameterized by the initial state. The scalar output of the system is the volume comprised by the states of the whole ensemble. Already the unperturbed dynamics is assumed to be unstable. In order to stabilize the system with unknown inputs in the ISS sense we design impulsive control actions based in the output signal and establish conditions under which the system possesses the ISS property under these impulsive actions.
From Early Bronze Age domestic plant production to Middle Bronze Age regional exchange economy: the archaeobotanical assemblages from Tel Kabri
Authors: Nicoli’ Marco , Riehl Simone , Cline Eric H. , Yasur-Landau Assaf 
Published: August 2023

AbstractRecent excavations at the site of Tel Kabri have brought some extraordinary findings, including the earliest wine cellar in the ancient Near East discovered in 2013. During these excavations, archaeobotanical samples were collected continuously and then processed in 2019. The archaeobotanical studies focus on the Middle Bronze Age palace in Area DW and the Early Bronze Age domestic deposits in Area L. The results confirm the different nature of the two contexts. Legumes form a large portion of the crop remains in the Early Bronze Age Area L:Lathyrus sativus(grass pea),Vicia fabavar. minor (faba bean), andLens culinaris(lentil), all showing no drought stress and similar growing conditions in terms of moisture availability, as indicated by stable carbon isotope measurements. For Area L, several wild seeds have been identified to represent weeds of cereal crops, whereas Area DW is strongly affected by small wild seeds that entered the sediments as modern contaminants. Fruit crops are present in both assemblages withOlea europaea(olive), representing the most ubiquitous taxon, andVitis vinifera(grape), with most of its pips found mineralized. The identified remains also include cereal crops, primarilyTriticum dicoccum(emmer), which appears cultivated under exceptionally dry conditions. The stable nitrogen values for emmer also raised some questions regarding the growing location and cultivation strategy. Correspondence analysis has been applied, comparing the archaeobotanical assemblages of Tel Kabri within the wider geographical and chronological Levantine context and determining their placement in sub-regional patterns.
Technological dynamics of Early Iron Age ceramics from the Heuneburg (SW Germany): A synthesis of 50 years of research
Authors: de Groot Beatrijs G. , Braekmans Dennis , Fernández-Götz Manuel , Hansen Leif , Stegmaier Gerd , Krausse Dirk 
Published: August 2023

AbstractThis paper addresses technological dynamics revealed through raw material analyses of Late Hallstatt (seventh–fifth centuries BCE) ceramics from the famous Heuneburg site (Herbertingen-Hundersingen, SW Germany). The study combines, for the first time, separate sets of thin-sections produced over the last 50 years in order to provide a comprehensive and consolidated characterisation of technological changes in ceramic production taking place at the site during the Hallstatt phases D1 to D3. It provides significant new insights into the relation between raw material procurement and preparation, on the one hand, and changes in ceramic typology and production methods, on the other hand (i.e. the introduction of the potter’s wheel). The results reveal a shift from a broad spectrum of fabrics tempered with grog, sand or crushed calcite in phase Hallstatt D1, to the increasing use of non-calcareous, grog or sand-tempered fabrics. The new wheel-turned pottery (appearing from phase Hallstatt D3) is exclusively produced using a non-calcareous clay, often tempered with fine sand, indicating a specialisation in raw material selection alongside the introduction of novel shaping techniques. Evidence of continuity between the fabrics used in phase Hallstatt D1 and the new wheel-turned pottery suggests craft specialists drew upon established technological knowledge to integrate the potter’s wheel. The adoption of the potter’s wheel was likely also stimulated by the increased demand for new vessels to accommodate the consumption of fermented drinks such as grape wine, fruit wine or beer.
New results on asymptotic properties of likelihood estimators with persistent data for small and large T
Authors: Juodis Artūras , Sarafidis Vasilis 
Published: August 2023

AbstractThis paper revisits the panel autoregressive model, with a primary emphasis on the unit-root case. We study a class of misspecified Random effects Maximum Likelihood (mRML) estimators when T is either fixed or large, and N tends to infinity. We show that in the unit-root case, for any fixed value of T, the log-likelihood function of the mRML estimator has a single mode at unity as $$N\rightarrow \infty $$

N
→
∞

. Furthermore, the Hessian matrix of the corresponding log-likelihood function is non-singular, unless the scaled variance of the initial condition is exactly zero. As a result, mRML is consistent and asymptotically normally distributed as N tends to infinity. In the large-T setup, it is shown that mRML is asymptotically equivalent to the bias-corrected FE estimator of Hahn and Kuersteiner (Econometrica 70(4):1639–1657, 2002). Moreover, under certain conditions, its Hessian matrix remains non-singular.
Long-term outcomes and health-related quality of life 20 years after pediatric liver transplantation
Authors: Cussa Davide , Pino Angelica , Catalano Silvia , Montini Chiara , Assanti Federico , Peruzzi Licia , Pinon Michele , Calvo Pier Luigi , Spada Marco , Patrono Damiano , Gennari Fabrizio , Otte Jean-Bernard , Salizzoni Mauro , Romagnoli Renato 
Published: August 2023

AbstractPediatric liver transplantation is a challenging surgical procedure requiring complex post-transplant patient management. Liver transplantation in children should ensure long-term survival and good health-related quality of life (HR-QOL), but data in the literature are conflicting. With the aim of investigating survival and psychosocial outcomes of patients transplanted during childhood, we identified 40 patients with ≥ 20-year follow-up after liver transplantation regularly followed up at our Institution. Clinical charts were reviewed to retrieve patients’ data. Psychosocial aspects and HR-QOL were investigated by an in-person or telephonic interview and by administering the WHOQOL-BREF questionnaire through an online form. Ten- and 20-year patient survival was 97.5% (95% CI 92.8–100%), whereas 10- and 20-year graft survival was 77.5% (65.6–91.6%) and 74.8% (62.5–89.6%), respectively. At last follow-up visit, 31 patients (77.5%) were receiving a tacrolimus-based immunosuppression. Twelve (32.4%) patients obtained a university diploma or higher, whereas 19 (51.4%) successfully completed high school. 81.1% of patients were active workers or in education, 17.5% had children, and 35% regularly practiced sport. 25 patients answered to the WHOQOL-BREF questionnaire. More than 60% of respondents did not report any disability and the perceived physical status was invariably good or very good. Median scores for physical health, psychological health, social relationships, and environment were 16.6, 14.7, 16, and 15, respectively. Pediatric liver transplantation is associated with excellent long-term survival and good HR-QOL. Psychological health and environment represent areas in which support would be needed to further improve HR-QOL.
How Can the Roma Deal with the Health and Social Crisis Generated by the COVID-19 Pandemic? Inequalities, Challenges, and Successful Actions in Catalonia (Spain)
Authors: Khalfaoui Andrea , Garcia-Espinel Tania , Macías-Aranda Fernando , Molina Roldán Silvia 
Published: August 2023

AbstractThe Roma is the most excluded non-migrant ethnic minority in Europe, facing prejudice, intolerance, discrimination, and social exclusion in their daily lives. This has led to a huge gap in several social domains between the Roma and non-Roma created for centuries. The COVID-19 pandemic has only increased the social and health inequalities that the Roma faced. In this context, it is important to identify actions that have been successful in mitigating the effects that the COVID-19 has had in increasing such inequalities. This paper presents the findings of a mixed-method study carried out in Catalonia (Spain) with the participation of more than 500 Roma, who reported their experience. The study results confirm the significant vulnerability and the negative impact of the COVID-19 pandemic on the Roma communities. Our research also highlights several successful actions developed by the Integrated Plan for the Roma of the Catalan Government, such as health literacy and adult education, as having a positive impact on the quality of life of many Roma during the health and social crisis generated by the COVID-19 pandemic. This paper suggests that the lessons learned from Catalonia could be transferred to other contexts across Europe and guide decision makers to promote the social inclusion and quality of life of the Roma, protecting Roma communities during current and future pandemics.