bluuebunny/crossref_metadata_2025_split huggingface dataset:
Updating Local Anisotropies with Template Matching During Geostatistical Seismic Inversion
Authors: Pereira Ângela , Azevedo Leonardo , Soares Amílcar 
Published: March 2023

AbstractIterative geostatistical seismic inversion methods are widely used to predict petro-elastic rock properties from seismic reflection data. When the model perturbation technique uses two-point geostatistics, these methods struggle to reproduce complex and nonstationary geological environments such as faults, folds and highly variable depositional systems. These limitations are often due to the use of a global variogram model to express the expected spatial continuity pattern of the property of interest. In complex geological environments a global variogram model might be unable to detect local heterogeneities and rapid variations of lithology, and result in nonrealistic geological models. Local heterogeneities might be predicted from the data using seismic attribute analysis, which can be imposed during geostatistical seismic inversion as local anisotropy models. In these approaches, the information about the local spatial continuity patterns is fixed and will guide and condition the entire inversion procedure, which can lead to errors and uncertainty in areas where this approach is not appropriate due to high local uncertainty of geological features, given the poor signal-to-noise ratio of the data or the presence of important geological features below the seismic resolution. This work proposes an iterative geostatistical seismic inversion method which iteratively updates the local spatial continuity models based on the trace-by-trace misfit between observed and predicted seismic data. The update of the local spatial continuity models aims at surpassing the limitations of the seismic inversion methods that use a fixed a priori variogram model. The method is successfully illustrated in a challenging two-dimensional synthetic data set and in a real case application. The results demonstrate the benefit of updating iteratively the imposed local spatial continuity patterns based on the data misfit. The inverted models are capable of better predicting the location of faults and reproducing the continuity of sinuous channels.
Polygonal contact model revisited: notes on usage and improved implementation
Authors: Hippmann Gerhard 
Published: March 2023

AbstractThe polygonal contact model is an established contact algorithm for multibody dynamics based on polygonal surfaces. Some guidance for its practical use is presented. In particular, assignment and discretization of the surface meshes are discussed with regard to correct results and optimal efficiency. Moreover, notes on stiffness and damping parameters are given.An improved implementation of the polygonal contact model is introduced. The new algorithm goes without quite complicated intersection construction steps. As a consequence, it is less complex, more robust and usually more efficient than the classic implementation.Application examples of varied complexity demonstrate both notes on usage and improved implementation of the polygonal contact model.
“Letting Go and Staying Connected”: Substance Use Outcomes from a Developmentally Targeted Intervention for Parents of College Students
Authors: Hill L. G. , Bumpus M. , Haggerty K. P. , Catalano R. F. , Cooper B. R. , Skinner M. L. 
Published: March 2023

AbstractWe present results of a randomized, controlled, efficacy trial of a handbook intervention for parents of first-year college students. The aim of the interactive intervention was to decrease risk behaviors by increasing family protective factors. The handbook, based in self-determination theory and the social development model, provided evidence-based and developmentally targeted suggestions for parents to engage with their students in activities designed to support successful adjustment to college. We recruited 919 parent-student dyads from incoming students enrolled at a university in the U.S. Pacific Northwest and randomly assigned them to control and intervention conditions. We sent handbooks to intervention parents in June before students’ August matriculation. Research assistants trained in motivational interviewing contacted parents to encourage use of the handbook. Control parents and students received treatment as usual. Participants completed baseline surveys during their final semester in high school (time 1) and their first semester at college (time 2). Self-reported frequency of alcohol, cannabis, and simultaneous use increased across both handbook and control students. In intent-to-treat analyses, odds of increased use were consistently lower and of similar magnitude for students in the intervention condition than in the control condition, and odds of first-time use were also lower in the intervention condition. Contact from research assistants predicted parents’ engagement, and parent and student report of active engagement with handbook predicted lower substance use among intervention than control students across the transition to college. We developed a low-cost, theory-based handbook to help parents support their young adult children as they transition to independent college life. Students whose parents used the handbook were less likely to initiate or increase substance use than students in the control condition during their first semester in college.ClinicalTrials.gov Identifier: NCT03227809
Network-based principles of entrepreneurial ecosystems: a case study of a start-up network
Authors: Ancona Andrea , Cinelli Matteo , Ferraro Giovanna , Iovanella Antonio 
Published: March 2023

AbstractEntrepreneurial ecosystems are wealthy environments in which entrepreneurs, firms, and governments can operate frictionless, contributing to innovation and economic growth. The investigation of the structure of such systems is an open issue. We provide insights on this aspect through the formulation of seven network-based principles associating specific network metrics to distinct structural features of entrepreneurial ecosystems. In this way, we aim to support the measurement of the structural characteristics of an entrepreneurial ecosystem and the design of policy interventions in case of unmet properties. The proposed methodology is applied to an original network built on the relationships occurring on Twitter among 612 noteworthy start-ups from seven different European countries. This is a novel way to conceptualize entrepreneurial ecosystems considering online interactions. Thus, this work represents a first attempt to analyze the structure of entrepreneurial ecosystems considering their network architecture to guide policy-making decisions. Our results suggest a partial ecosystem-like nature of the analyzed network, providing evidence about possible policy recommendations.
Using the History of the Super-Organismic-Plant-Community Concept To Help Students Understand the Nature of Science
Authors: Ampatzidis Georgios , Ergazaki Marida 
Published: March 2023

AbstractAlthough formulating a broadly accepted definition of scientific literacy may be challenging, it is widely recognized that Nature of Science (NOS) is an essential component of it. There are different ways to define NOS. In some cases, NOS can be conceptualized through a number of general NOS aspects like for instance science’s empirical basis or tentativeness. This approach in NOS teaching and learning is considered to be helpful for advancing students’ understanding about NOS. Moreover, it has been suggested that history of science, and more specifically narratives informed by the history of science, can be very well used to explicitly and systematically highlight general NOS aspects. Thus, this paper reports on two “fiction talk stories” that we created considering the history of the super-organismic-plant-community concept and the critique against it. Our stories, “Inspiration cannot wait” and “Panta rhei,” set focus on the creativity involved in scientists’ work, the distinction between observation and inference, and the tentativeness of science. In this paper, we (a) discuss fiction talk stories as a type of narratives used in educational contexts, (b) highlight the historical background of “Inspiration cannot wait” and “Panta rhei” and present the narratives themselves, (c) discuss them in terms of their essential features and the strategies we considered, and (d) we make some final remarks.
Automated Classification of Well Test Responses in Naturally Fractured Reservoirs Using Unsupervised Machine Learning
Authors: Freites A. , Corbett P. , Rongier G. , Geiger S. 
Published: March 2023

AbstractUnderstanding the impact of fractures on fluid flow is fundamental for developing geoenergy reservoirs. Pressure transient analysis could play a key role for fracture characterization purposes if better links can be established between the pressure derivative responses (p′) and the fracture properties. However, pressure transient analysis is particularly challenging in the presence of fractures because they can manifest themselves in many differentp′ curves. In this work, we aim to provide a proof-of-concept machine learning approach that allows us to effectively handle the diversity in fracture-relatedp′ curves by automatically classifying them and identifying the characteristic fracture patterns. We created a synthetic dataset from numerical simulation that comprised 2560p′ curves that represent a wide range of fracture network properties. We developed an unsupervised machine learning approach that can distinguish the temporal variations in thep′ curves by combining dynamic time warping with k-medoids clustering. Our results suggest that the approach is effective at recognizing similar shapes in thep′ curves if the second pressure derivatives are used as the classification variable. Our analysis indicated that 12 clusters were appropriate to describe the full collection ofp′ curves in this particular dataset. The classification exercise also allowed us to identify the key geological features that influence thep′ curves in this particular dataset, namely (1) the distance from the wellbore to the closest fracture(s), (2) the local/global fracture connectivity, and (3) the local/global fracture intensity. With additional training data to account for a broader range of fracture network properties, the proposed classification method could be expanded to other naturally fractured reservoirs and eventually serve as an interpretation framework for understanding how complex fracture network properties impact pressure transient behaviour.
Music in business and management studies: a systematic literature review and research agenda
Authors: Pizzolitto Elia 
Published: March 2023

AbstractMusic is the background of life, representing an international language that connects different cultures. It is also significant with respect to economies, markets, and businesses. The literature in the music field has identified several issues related to the role of digitalization in the revolution of music, the distribution of music products, the management and organization of music events, music marketing strategies, and the position of musicians as entrepreneurs. This paper comprises a systematic literature review of the most recent articles discussing the numerous connections between music, business, and management (2017–2022). Through a rigorous protocol, this research discusses the effects of the digital revolution on the music industry, with particular reference to the persisting oligopoly of major labels and the new business models that integrate music streaming and social networks. The findings show the renaissance and relevance of live music events, the fundamental role of segmentation strategies for managing festivals, and the limited presence of sustainability as a priority during festivals and events management. Furthermore, the literature highlights the relevance of discussions concerning musicians’ identity, especially in light of the complex relationship between the bohemian and the entrepreneurial nature of their profession. This is followed by numerous reflections on future research opportunities, recommending theoretical and empirical in-depth studies of music industry competition, futuristic management philosophies and business models, and the roles of technology, sustainability, and financial elements in fostering artists’ success in the digital era. Finally, the paper discusses business models and strategies for musicians, festivals management, stores, and sustainability.
Fungal and bacterial endophytes antagonistic to Phytophthora species causing root rot in Cinnamomum cassia
Authors: Dang Quynh N. , Burgess Treena I. , McComb Jen , Pham Thu Q. , Le Binh V. , Tran Thang V. , Nguyen Loan T. , Hardy Giles E. St. J. 
Published: March 2023

AbstractEndophytes were investigated for their potential to protect Cinnamomum cassia (cinnamon) from Phytophthora root rot. From healthy cinnamon trees in diseased plantations, 134 bacterial and fungal endophytes were isolated and screened in vitro for their ability to antagonise the root rot pathogens Phytophthora cinnamomi, P. multibullata and P. × vanyenensis. Seventeen endophytes exhibiting high levels of antagonism in vitro (more than 45%) were then tested in a glasshouse study for their ability to reduce the impact of Phytophthora infection in cinnamon seedlings. Trials using cinnamon seeds or seedlings inoculated with an endophyte and then infested with Phytophthora identified three endophytes expressing high levels of disease suppression (based on root damage reduction) and plant growth promotion. These were Penicillium citrinum, Xylaria curta and Clonostachys rosea. These endophytes can potentially be used in the biological control of root rot in cinnamon, but this must be explored further under field conditions.
Gender Differences in Perceived Working Conditions of General Practitioners During the COVID-19 Pandemic—a Cross-Sectional Study
Authors: Schaffler-Schaden Dagmar , Stöllinger Lena , Avian Alexander , Terebessy András , Scott Anna M. , Streit Sven , Piccoliori Giuliano , Zelko Erika , Huter Sebastian , Mergenthal Karola , Bachler Herbert , Flamm Maria , Siebenhofer Andrea 
Published: March 2023

Abstract
Background
The
ongoing COVID-19 pandemic has revealed gender-specific differences between general practitioners in adapting to the posed challenges. As primary care workforce is becoming increasingly female, in many countries, it is essential to take a closer look at gender-specific influences when the global health care system is confronted with a crisis.

Objective
To explore gender-specific differences in the perceived working conditions and gender-specific differences in challenges facing GPs at the beginning of the COVID-19 pandemic in 2020.

Design
Online survey in seven countries.

Participants
2,602 GPs from seven countries (Austria, Australia, Switzerland, Germany, Hungary, Italy, Slovenia). Of the respondents, 44.4% (n = 1,155) were women.

Main Measures
Online survey. We focused on gender-specific differences in general practitioners’ perceptions of working conditions at the beginning of the COVID-19 pandemic in 2020.

Key Results
Female GPs rated their skills and self-confidence significantly lower than male GPs (f: 7.1, 95%CI: 6.9–7.3 vs. m: 7.6, 95%CI 7.4–7.8; p < .001), and their perceived risk (concerned about becoming infected or infecting others) higher than men (f: 5.7, 95%CI: 5.4–6.0 vs. m: 5.1, 95%CI: 4.8–5.5; p = .011). Among female GPs, low self-confidence in the treatment of COVID-19 patients appear to be common. Results were similar in all of the participating countries.

Conclusions
Female and male GPs differed in terms of their self-confidence when dealing with COVID-19-related issues and their perceptions of the risks arising from the pandemic. To ensure optimal medical care, it is important that GPs realistically assess their own abilities and overall risk.
Rif1 Regulates Self-Renewal and Impedes Mesendodermal Differentiation of Mouse Embryonic Stem Cells
Authors: Liu Cheng , Yu Peng , Ren Zongna , Yao Fang , Wang Li , Hu Guang , Li Pishun , Zhao Quanyi 
Published: March 2023

Abstract
Background
RAP1 interacting factor 1 (Rif1) is highly expressed in mice embryos and mouse embryonic stem cells (mESCs). It plays critical roles in telomere length homeostasis, DNA damage, DNA replication timing and ERV silencing. However, whether Rif1 regulates early differentiation of mESC is still unclear.

Methods
In this study, we generated a Rif1 conditional knockout mouse embryonic stem (ES) cell line based on Cre-loxP system. Western blot, flow cytometry, quantitative real-time polymerase chain reaction (qRT-PCR), RNA high-throughput sequencing (RNA-Seq), chromatin immunoprecipitation followed high-throughput sequencing (ChIP-Seq), chromatin immunoprecipitation quantitative PCR (ChIP-qPCR), immunofluorescence, and immunoprecipitation were employed for phenotype and molecular mechanism assessment.

Results
Rif1 plays important roles in self-renewal and pluripotency of mESCs and loss of Rif1 promotes mESC differentiation toward the mesendodermal germ layers. We further show that Rif1 interacts with histone H3K27 methyltransferase EZH2, a subunit of PRC2, and regulates the expression of developmental genes by directly binding to their promoters. Rif1 deficiency reduces the occupancy of EZH2 and H3K27me3 on mesendodermal gene promoters and activates ERK1/2 activities.

Conclusion
Rif1 is a key factor in regulating the pluripotency, self-renewal, and lineage specification of mESCs. Our research provides new insights into the key roles of Rif1 in connecting epigenetic regulations and signaling pathways for cell fate determination and lineage specification of mESCs.

Graphical abstract
Assessing the suitability of local earth resources for use in clay barriers to protect historic masonry in Pompeii
Authors: Michette Martin , Breuninger Tamara , Kilian Ralf , Nickmann Marion , Thuro Kurosch , Ziegert Christof 
Published: March 2023

AbstractThis paper presents a case study for the testing of locally available resources selected to form a clay barrier. This is a promising technique for protecting historic masonry from ground moisture intrusion. There are several historical precedents for the use of calcareous, clayey soils to form moisture resilient barriers in architecture. More recently, specialised bentonite mixtures have arrived on the market. Assessment protocols for suitable barrier material will help establish general codes and the potential for this technique to make use of locally available resources, either in their raw state or in mixtures. In this project, a variety of different geo-materials are collected from around Pompeii to test their suitability for use in a barrier installation on a tomb in the archaeological site. The methodology consists of laboratory tests used in the assessment of barrier material for landfill engineering, and rapid tests used in earth construction. A mixture of a calcareous clay and a sand produced barrier material with suitable properties. The methodology can form the basis of assessments elsewhere, to further develop the potential of using locally available geo-resources for conservation and construction projects.
Alterations in Dynamic Functional Connectivity in Patients with Cerebral Small Vessel Disease
Authors: Chen Futao , Chen Qian , Zhu Yajing , Long Cong , Lu Jiaming , Jiang Yaoxian , Zhang Xin , Zhang Bing 
Published: March 2023

AbstractCerebral small
vessel disease (CSVD) is a common disease that seriously endangers people’s health, and is easily overlooked by both patients and clinicians due to its near-silent onset. Dynamic functional connectivity (DFC) is a new concept focusing on the dynamic features and patterns of brain networks that represents a powerful tool for gaining novel insight into neurological diseases. To assess alterations in DFC in CSVD patients, and the correlation of DFC with cognitive function. We enrolled 35 CSVD patients and 31 normal control subjects (NC). Resting-state functional MRI (rs-fMRI) with a sliding-window approach and k-means clustering based on independent component analysis (ICA) was used to evaluate DFC. The temporal properties of fractional windows and the mean dwell time in each state, as well as the number of transitions between each pair of DFC states, were calculated. Additionally, we assessed the functional connectivity (FC) strength of the dynamic states and the associations of altered neuroimaging measures with cognitive performance. A dynamic analysis of all included subjects suggested four distinct functional connectivity states. Compared with the NC group, the CSVD group had more fractional windows and longer mean dwell times in state 4 characterized by sparse FC both inter-network and intra-networks. Additionally, the CSVD group had a reduced number of windows and shorter mean dwell times compared to the NC group in state 3 characterized by highly positive FC between the somatomotor and visual networks, and negative FC in the basal ganglia and somatomotor and visual networks. The number of transitions between state 2 and state 3 and between state 3 and state 4 was significantly reduced in the CSVD group compared to the NC group. Moreover, there was a significant difference in the FC strength between the two groups, and the altered temporal properties of DFC were significantly related to cognitive performance. Our study indicated that CSVD is characterized by altered temporal properties in DFC that may be sensitive neuroimaging biomarkers for early disease identification. Further study of DFC alterations could help us to better understand the progressive dysfunction of networks in CSVD patients.
Modeling the impacts of best management practices (BMPs) on pollution reduction in the Yarra River catchment, Australia
Authors: Ahsan Amimul , Das Sushil K. , Khan Md. Habibur Rahman Bejoy , Ng Anne W. M. , Al-Ansari Nadhir , Ahmed Shakil , Imteaz Monzur , Tariq Muhammad A. U. R. , Shafiquzzaman Md. 
Published: March 2023

AbstractPollution of a watershed by different land uses and agricultural practices is becoming a major challenging factor that results in deterioration of water quality affecting human health and ecosystems. Sustainable use of available water resources warrants reduction of Non-Point Source (NPS) pollutants from receiving water bodies through best management practices (BMPs). A hydrologic model such as the Soil and Water Assessment Tool (SWAT) can be used for analyzing the impacts of various BMPs and implementing of different management plans for water quality improvement, which will help decision makers to determine the best combination of BMPs to maximize benefits. The objective of this study is to assess the potential reductions of sediments and nutrient loads by utilizing different BMPs on the Yarra River watershed using the SWAT model. The watershed is subdivided into 51 sub-watersheds where seven different BMPs were implemented. A SWAT model was developed and calibrated against a baseline period of 1998–2008. For calibration and validation of the model simulations for both the monthly and annual nutrients and sediments were assessed by using the Nash–Sutcliffe efficiency (NSE) statistical index. The values of the NSE were found more than 0.50 which indicates satisfactory model predictions. By utilizing different BMPs, the highest pollution reduction with minimal costs can be done by 32% targeted mixed-crop area. Furthermore, the combined effect of five BMPs imparts most sediments and nutrient reductions in the watershed. Overall, the selection of a BMP or combinations of BMPs should be set based on the goals set in a BMP application project.