bluuebunny/crossref_metadata_2025_split huggingface dataset:
The value of context-specific studies for marketing
Authors: Stremersch Stefan , Gonzalez Jorge , Valenti Albert , Villanueva Julian 
Published: July 2022

AbstractThis paper clarifies why context-specific studies have scientific merit and provides recommendations to authors and journal stewards on how to develop them well. A context-specific study is a study in a unique setting yielding conclusions that can be considered to have limited generalizability to other settings. A firm’s industry—think of pharmaceuticals, video games, movies, platform markets, sharing economy—may represent an unambiguous example of a specific context. Unfortunately, the generalizability-specificity dilemma is often misunderstood. Generalizability is excessively heralded as the ideal, and studies in specific contexts are too often denigrated, while both intrinsically can be valuable to the advancement of knowledge. The present paper aims to (1) provide a more nuanced system of beliefs for marketing scholarship to adopt in favor of specificity; (2) offer a helping hand to authors and editors when developing and publishing context-specific studies; (3) review successful examples from the prior literature; and (4) offer clear implications for scholars.
Bone loss induced by cancer treatments in breast and prostate cancer patients
Authors: Castañeda Santos , Casas Ana , González-del-Alba Aránzazu , Martínez-Díaz-Guerra Guillermo , Nogués Xavier , Ojeda Thies Cristina , Torregrosa Suau Óscar , Rodríguez-Lescure Álvaro 
Published: July 2022

AbstractCancer and cancer therapies are a major factor risk for osteoporosis due to bone loss and deterioration of bone microarchitecture. Both factors contribute to a decrease in bone strength and, consequently, increased bone fragility and risk of fracture. Cancer-associated bone loss is a multifactorial process, and optimal interdisciplinary management of skeletal health, accurate assessment of bone density, and early diagnosis are essential when making decisions aimed at reducing bone loss and fracture risk in patients who have received or are receiving treatment for cancer. In this document, a multidisciplinary group of experts collected the latest evidence on the pathophysiology of osteoporosis and its prevention, diagnosis, and treatment with the support of the Spanish scientific society SEOM. The aim was to provide an up-to-date and in-depth view of osteoporotic risk and its consequences, and to present a series of recommendations aimed at optimizing the management of bone health in the context of cancer.
University without Borders
Authors: Tateo Luca , Marsico Giuseppina , Min He , Machado Dazzani Maria Virginia 
Published: July 2022

AbstractThe paper discusses the problem of master theses’ production in psychology from a decolonial perspective. It presents a critique to the reproductive and monological model of knowledge currently promoted in higher education. Then, it proposes an alternative pedagogic model of research-tandem. The research-tandem is an example of an innovative way of understanding a university without borders, as developed within the international network of excellence “IBEF- Ideas for the Basic Education of the Future”. Higher education must be detached from national-based curricula, and become a nomadic and collaborative across-cultural knowledge building endeavor. Current higher education aims to be national in its curricula but global in its marketability. In cultural psychology’s perspective, higher education of the future shall be regarded as global in its vision yet local in its solutions. Future students must have the opportunity to build new knowledge by experiencing and sharing diversity rather than complying with standardized and monological trajectories.
Preparation, Characterization and Application of Calcium Oxide Nanoparticles from Waste Carbonation Mud in Clarification of Raw Sugar Melt
Authors: Mostafa Fayza A. , Gad Ahmad N. , Gaber Abdel-Aal M. , Abdel-Wahab Aboel-Magd A. 
Published: July 2022

AbstractThe final carbonation mud resulted from sugar beet clarification process has been and still represents the most common waste problem in sugar industry. It contains mainly calcium carbonate beside other minor constituents. In this study, a novel technique was developed, which involves combination of Limex method and sol–gel method for the preparation of calcium oxide nanoparticles (CON) from the carbonation mud waste. The synthesized nanoparticles were characterized by scanning electron microscope (SEM), transmission electron microscope (TEM), Fourier-transform infrared spectroscopy and X-ray diffraction. The SEM and TEM images showed that the CON particles are semi-hexagonal in morphology with particles size 60–275 nm. A high surface area 747.62 m2/g was also determined. Minerals analysis of CON showed high content of calcium oxide (92.81%) and significant reduction in the percentage of other elements compared with the commercial calcium oxide currently used in sugar industry. Laboratory- as well as pilot-scale results proved that CON from carbonation mud can be used successfully for clarification processes of raw sugar refining. Of course, the application of CON as clarifying agent in sugar industry will result in a significant reduction in the consumption of calcium oxide (32.43%) in addition to minimizing the carbonation mud waste pollution problems.
A multi-criterion three-way decision-making method under linguistic interval-valued intuitionistic fuzzy environment
Authors: Qin Yuchu , Qi Qunfen , Shi Peizhi , Scott Paul J. , Jiang Xiangqian 
Published: July 2022

AbstractHow to solve a multi-criterion decision-making (MCDM) problem with linguistic interval-valued intuitionistic fuzzy numbers (LIVIFNs) effectively is an important research topic. So far, a number of methods for solving this problem have been presented within the academia. Each of these methods can work well in specific situation. But they could produce undesirable decision-making results when the information for decision-making is insufficient or acquisition of the information needs a certain cost, since all of them are based on conventional two-way decision model. In this paper, three-way decision model is introduced into linguistic interval-valued intuitionistic fuzzy environment and a multi-criterion three-way decision-making method under this environment is presented. A specific relative loss function derived from an LIVIFN is established and corresponding three-way decision rules are developed. Based on the established function and developed rules, a three-way decision method for solving an MCDM problem with LIVIFNs is proposed. The application of the proposed method is illustrated via a practical example. The effectiveness and advantage of the method are demonstrated via an experimental comparison with some existing methods. The comparison results suggest that the proposed method is as effective as the existing methods and is more flexible than the existing methods in solving an MCDM problem with LIVIFNs.
A versatile defect engineering strategy for room-temperature flash sintering
Authors: Wu Angxuan , Yan Ziyang , Wang Xilin , Yu Zhiyang , Huang Rongxia , Yan Nianping , Jia Zhidong 
Published: July 2022

AbstractIn this study, we reported that flash sintering (FS) could be efficiently triggered at room temperature (25 °C) by manipulating the oxygen concentration within ZnO powders via a versatile defect engineering strategy, fully demonstrating a promising method for the repaid prototyping of ceramics. With a low concentration of oxygen defects, FS was only activated at a high onset electric field of ∼2.7 kV/cm, while arcs appearing on the surfaces of samples. Strikingly, the onset electric field was decreased to < 0.51 kV/cm for the activation of FS initiated, which was associated with increased oxygen concentrations coupled with increased electrical conductivity. Thereby, a general room-temperature FS strategy by introducing intrinsic structural defect is suggested for a broad range of ceramics that are prone to form high concentration of point defects.
Inventory Policy and Heuristic for Long-Term Multi-product Perishable Inventory Routing Problem with Static Demand
Authors: Chen Xi-Yi , Yang Jian-Bo , Xu Dong-Ling 
Published: July 2022

AbstractThis work considers a long-term Perishable Inventory Routing Problem with multiple products, static demand, and single vehicle, in the setting of Vendor Managed Inventory. By analyzing the optimal solutions of long-term cases that can be solved in Python+Gurobi within 2 h, we capture some patterns of optimal solutions. Utilizing these patterns, experiments show that under certain conditions, the mathematical models of multi-product problems could be simplified to single-product problems, which have the same optimal solutions while taking less time to solve. Managerial insights were generated that for products with static demand in the long term, delivery should be arranged at the store level rather than at the product level. Products in the same store should have the same delivery pattern, no matter how different the unit holding costs are. By further analyzing the optimal solutions of the simplified models, we find that optimal value will stabilize in the long term, and the optimal solution is very close to the solution point where total inventory holding cost and transportation cost are close. Based on these findings, we have developed a heuristic that always provides optimal or close-to-optimal solutions with far less computational time, compared with Python+Gurobi.
Trajectories of MMSE and MoCA scores across the healthy adult lifespan in the Italian population
Authors: Aiello Edoardo Nicolò , Pasotti Fabrizio , Appollonio Ildebrando , Bolognini Nadia 
Published: July 2022

Abstract
Background
This study compares the performance at the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) across the healthy adult lifespan in an Italian population sample.

Methods
The MMSE and MoCA were administered to 407 Italian healthy native-speakers (165 males; age range 20–93 years; education range 4–25 years). A generalized Negative Binomial mixed model was run to profile MMSE and MoCA scores across 8 different age classes (≤ 30; 31–40; 41–50; 51–60; 61–70; 71–80; 81–85; ≥ 86) net of education and sex.

Results
MMSE and MoCA total scores declined with age (p < 0.001), with the MoCA proving to be “more difficult” than the MMSE (p < 0.001). The Age*Test interaction (p < 0.001) indicates that the MoCA proved to profile a sufficiently linear involutional trend in cognition with advancing age and to be able to detect poorer cognitive performances in individuals aged ≥ 71 years. By contrast, MMSE scores failed in capturing the expected age-related trajectory, reaching a plateau in the aforementioned age classes.

Discussion
The MoCA seems to be more sensitive than the MMSE in detecting age-related physiological decline of cognitive functioning across the healthy adult lifespan. The MoCA might be therefore more useful than the MMSE as a test for general cognitive screening aims.
Apparent autistic traits in transgender people: a prospective study of the impact of gender-affirming hormonal treatment
Authors: Mazzoli F. , Cassioli E. , Ristori J. , Castellini G. , Rossi E. , Cocchetti C. , Romani A. , Angotti T. , Giovanardi G. , Mosconi M. , Lingiardi V. , Speranza A. M. , Ricca V. , Vignozzi L. , Maggi M. , Fisher A. D. 
Published: July 2022

Abstract
Purpose
We evaluated differences in Autism Spectrum Quotient (AQ) scores between a sample of hormone-naïve transgender and cisgender people and the impact of gender-affirming hormonal treatment (GAHT) on AQ scores across time. Furthermore, we assessed alexithymia and social anxiety as possible mediators of changes in AQ scores.

Methods
A cross-sectional comparison between cisgender and transgender people before GAHT and a prospective study on the effects of GAHT over time were performed. Transgender and cisgender people completed several psychometric tests. A total sample of 789 persons (n = 229 cismen; n = 172 ciswomen; n = 206 transmen; n = 182 transwomen) referring to the Florence and Rome Gender Clinics between 2018 and 2020 was enrolled. Of these, 62 participants referring to the Florence Gender Clinic were evaluated in a prospective study at baseline and 12 months after GAHT.

Results
Groups showed significant differences in terms of autistic traits: ciswomen showed lower scores of AQ, while cismen reported higher scores of AQ than all other groups. Transgender individuals showed significant higher levels of Gender Dysphoria (GD), body uneasiness, alexithymia and social anxiety, compared to cisgender ones. No significant differences in general psychopathology were found between groups. Across time, transmen and transwomen showed a significant reduction in AQ scores. The decrease in alexithymia and social anxiety after GAHT did not predict the change in AQ scores.

Conclusions
The autistic traits in our sample may represent an epiphenomenon of GD rather than being part of an Autism Spectrum Disorder (ASD) condition, since they significantly decreased after 12 months of GAHT.
The application of CRISPR/Cas technologies to Brassica crops: current progress and future perspectives
Authors: Li Jun , Yu Xiaoxiao , Zhang Chao , Li Na , Zhao Jianjun 
Published: July 2022

AbstractBrassica species are a global source of nutrients and edible vegetable oil for humans. However, all commercially important Brassica crops underwent a whole-genome triplication event, hindering the development of functional genomics and breeding programs. Fortunately, clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated (Cas) technologies, by allowing multiplex and precise genome engineering, have become valuable genome-editing tools and opened up new avenues for biotechnology. Here, we review current progress in the use of CRISPR/Cas technologies with an emphasis on the latest breakthroughs in precise genome editing. We also summarize the application of CRISPR/Cas technologies to Brassica crops for trait improvements. Finally, we discuss the challenges and future directions of these technologies for comprehensive application in Brassica crops. Ongoing advancement in CRISPR/Cas technologies, in combination with other achievements, will play a significant role in the genetic improvement and molecular breeding of Brassica crops.
Systematic Exploration of Optimized Base Editing gRNA Design and Pleiotropic Effects with BExplorer
Authors: Zhang Gongchen , Zhu Chenyu , Chen Xiaohan , Yan Jifang , Xue Dongyu , Wei Zixuan , Chuai Guohui , Liu Qi 
Published: July 2022

Abstract
Base editing technology is being increasingly applied in genome engineering, but the current strategy for designing guide RNAs (gRNAs) relies substantially on empirical experience rather than a dependable and efficient in silico design. Furthermore, the pleiotropic effect of base editing on disease treatment remains unexplored, which prevents its further clinical usage. Here, we presented BExplorer, an integrated and comprehensive computational pipeline to optimize the design of gRNAs for 26 existing types of base editors in silico. Using BExplorer, we described its results for two types of mainstream base editors, BE3 and ABE7.10, and evaluated the pleiotropic effects of the corresponding base editing loci. BExplorer revealed 524 and 900 editable pathogenic single nucleotide polymorphism (SNP) loci in the human genome together with the selected optimized gRNAs for BE3 and ABE7.10, respectively. In addition, the impact of 707 edited pathogenic SNP loci following base editing on 131 diseases was systematically explored by revealing their pleiotropic effects, indicating that base editing should be carefully utilized given the potential pleiotropic effects. Collectively, the systematic exploration of optimized base editing gRNA design and the corresponding pleiotropic effects with BExplorer provides a computational basis for applying base editing in disease treatment.
Reciprocal Green's Functions and the Quick Forecast of Storm Surges
Authors: Chen Guan‐Yu , Liu Chin‐Chu , Chang Yu‐Chia 
Published: July 2022

AbstractPre‐calculated reciprocal Green's functions are accurate and efficient for forecasting tsunamis generated by either submarine mass failures or submarine earthquakes. In the present study, reciprocal Green's functions are extended to the forecast of storm surges. As the reciprocity between volume flows is not natural, new reciprocity relations are first established and verified. These reciprocal Green's functions, after a convolution with the atmospheric pressure and wind stress, can give the water surface and volume fluxes of the storm surge promptly. Thus, various storm surge scenarios can be considered, and a useful forecast can be devised. Detailed simulations on storm surge inundation can be obtained quickly in a way similar to tsunami inundation.
Reconstruction of Directional Spectra of Infragravity Waves
Authors: Matsuba Yoshinao , Roelvink Dano , Reniers Ad J. H. M. , Rijnsdorp Dirk P. , Shimozono Takenori 
Published: July 2022

AbstractUnderstanding directional spectra of infragravity (IG) waves composed of free and bound components is required due to their impacts on various coastal processes (e.g., coastal inundation and morphological change). However, conventional reconstruction methods of directional spectra relying on linear wave theory are not applicable to IG waves in intermediate water depths (20–30 m) due to the presence of bound waves. Herein, a novel method is proposed to reconstruct directional spectra of IG waves in intermediate depth based on weakly nonlinear wave theory. This method corrects cross‐spectra among observed wave signals by taking account of the nonlinearity of bound waves in order to reconstruct directional spectra of free IG waves. Numerical experiments using synthetic data representing various directional distributions show that the proposed method reconstructs free IG wave directional spectra more accurately than the conventional method. The method is subsequently applied to observations of severe sea‐states at two field sites. At these sites, free IG waves are not isotropic and have clear peak directions. Numerical modeling of the wave fields shows that these peak directions correspond to the reflection of IG waves from the shore and/or coastal structures. Additionally, the validity of the underlying weakly nonlinear wave theory of the present method is assessed by a newly proposed method employing bispectral analysis. The bound wave response generally agrees with the theory at the field sites but deviates slightly for energetic sea states. The applicability of the present method on a sloping bottom is further discussed by an analytical solution.
Crustal Imbrication in an Alpine Intraplate Mountain Range: A Wide‐Angle Cross‐Section Across the Spanish‐Portuguese Central System
Authors: DeFelipe I. , Ayarza P. , Palomeras I. , Ruiz M. , Andrés J. , Alcalde J. , Poyatos D. Martínez , Lodeiro F. González , Yenes M. , Elez J. , Pérez‐Cáceres I. , Torne M. , Carbonell R. 
Published: July 2022

AbstractIntraplate ranges are topographic features that can occur far from plate boundaries, the expected position of orogens as described in the plate tectonics theory. To understand the lithospheric structure of intraplate ranges, we focused on the Spanish‐Portuguese Central System (SPCS), the most outstanding topographic feature in the central Iberian Peninsula. The SPCS is an Alpine range that exhumes Precambrian‐Paleozoic rocks and is located at >200 km from the northern border of the Iberian microplate. Here, we provide a P‐wave velocity model based on wide‐angle seismic reflection/refraction data of the central SPCS (Gredos sector). Our results show: (a) a layered lithosphere characterized by three major interfaces: Conrad, Mohorovicic, and Hales discontinuities, (b) an asymmetry of the crust‐mantle boundary under the SPCS, (c) the extent of the Variscan batholith forming the main outcrops of Gredos, and (d) the thinning of the lower crust toward the south. This model suggests that the exhumation of the SPCS basement was driven by a south‐vergent thick‐skinned thrust system, developed in the southern part of the SPCS and that promoted crustal imbrication and a Mohorovicic discontinuity's offset under the SPCS. Thus, the deformation mechanisms of the crust seem to be controlled by the presence of the late‐ to post‐Variscan granitoids that assimilated the Variscan mid‐crustal detachment creating a new rheological boundary. This tectonic structure allowed the formation of Alpine crustal‐scale thrust systems that eased coupled deformation of the upper and lower crust, leading to limited underthrusting of both crustal layers.
From Many to One: Consensus Inference in a MIP
Authors: Cressie Noel , Bertolacci Michael , Zammit‐Mangion Andrew 
Published: July 2022

AbstractA Model Intercomparison Project (MIP) consists of teams who estimate the same underlying quantity (e.g., temperature projections to the year 2070). A simple average of the ensemble of the teams' outputs gives a consensus estimate, but it does not recognize that some outputs are more variable than others. Statistical analysis of variance (ANOVA) models offer a way to obtain a weighted frequentist consensus estimate of outputs with a variance that is the smallest possible. Modulo dependence between MIP outputs, the ANOVA approach weights a team's output inversely proportional to its variance, from which optimally weighted estimates follow. ANOVA weights can also provide a prior distribution for Bayesian Model Averaging of the MIP outputs when external evaluation data are available. We use a MIP of carbon‐dioxide‐flux inversions to illustrate the ANOVA‐based weighting and subsequent frequentist consensus inferences.
Jamming Density and Volume‐Potential of a Bi‐Dispersed Granular System
Authors: Chang C. S. 
Published: July 2022

AbstractJamming is the transition from a fluid‐like state to a solid‐like state of a packing system. Recent studies have shown that jamming transition depends upon many factors: particle shape, friction/cohesion between particles, particle size dispersity, the stress of the packing, etc. This study aims to contribute to this growing area of research by exploring the jamming density of soil with strong dispersity. In analogous to Gibbs excess energy, we introduce excess volume‐potentials for each species. We then proposed a mathematical model to quantitatively compute the jamming density based on the second law of equilibrium in thermodynamics. This approach is validated using experimental results on glass beads and on silty sand. It is hoped that this study will provide to a deeper understanding of the link between jamming density, packing dispersity and the second law of thermodynamics.
Plasma Observations During the 7 June 2021 Ganymede Flyby From the Jovian Auroral Distributions Experiment (JADE) on Juno
Authors: Allegrini F. , Bagenal F. , Ebert R. W. , Louarn P. , McComas D. J. , Szalay J. R. , Valek P. , Wilson R. , Bolton S. J. , Connerney J. E. P. , Clark G. , Duling S. , Kurth W. S. , Mauk B. , Saur J. , Waite J. H. 
Published: July 2022

AbstractWe report on plasma observations from Juno/Jovian Auroral Distributions Experiment during the Ganymede flyby on 7 June 2021. Juno approached Ganymede from southern latitudes, passed through the wake region, then through its magnetosphere to closest approach (1,046 km from the surface) on the night side, and then back into Jupiter's plasma disk. We describe general plasma properties in the regions explored along the trajectory. We infer that Juno traversed a region of open field lines where one end intercepts Ganymede and the other Jupiter. The observations do not support Juno crossing into the closed field line region. The ion composition near Ganymede is very different than that of the nearby plasma environment. H2+ and H3+ ions were detected near Ganymede and in the wake region. Low energy (∼0.1–1 keV) electrons are enhanced just outside the magnetopause, in the wake (inbound trajectory) and in the magnetopause boundary layer (outbound trajectory).