bluuebunny/crossref_metadata_2025_split huggingface dataset:
A priori estimates for solutions of FitzHugh–Rinzel system
Authors: De Angelis Monica 
Published: March 2022

AbstractThe FitzHugh–Rinzel system is able to describe some biophysical phenomena, such as bursting oscillations, and the study of its solutions can help to better understand several behaviours of the complex dynamics of biological systems. We express the solutions by means of an integral equation involving the fundamental solution H(x, t) related to a non linear integro-differential equation. Properties of H(x, t) allow us to obtain a priori estimates for solutions determined in the whole space, showing both the influence of the initial data and the source term.
Identifying factors contributing to social vulnerability through a deliberative Q-Sort process: an application to heat vulnerability in Taiwan
Authors: Mabon Leslie , Shih Wan-Yu 
Published: March 2022

AbstractExtreme heat events are gaining ever more policy and societal attention under a warming climate. Although a breadth of expertises are required to understand drivers of vulnerability to hazards such as extreme heat, it is also acknowledged that expert assessments in group settings may be subject to biases and uneven power relations. In this Technical Note, we outline a structured deliberative process for supporting experts to work collaboratively to assess social vulnerability to a climate-related hazard, in this case extreme heat in Taiwanese cities. We argue that adapting elicitation approaches such as Q-Methodology for use in collaborative settings can help to organise expert discussion and enable dialogue and mutual learning, in a way that supports consensus-building on vulnerability assessment. Outcomes from our collaborative assessments suggest elderly people living alone, elderly people over 75, pre-existing circulatory diseases and level of participation in community decision-making may all be notable drivers of heat vulnerability in the Taiwanese context. Methodologically, we argue that collaborative sorting exercises offer a way to embed local and experiential knowledges into assessments of available evidence, but that strong facilitation and additional checks are necessary to ensure an inclusive process that reflects the diversity of perspectives involved.
Spatial data infrastructure (SDI) for inventory rockfalls with fragmentation information
Authors: Núñez-Andrés M. Amparo , Lantada Zarzosa Nieves , Martínez-Llario José 
Published: March 2022

AbstractThe fragmentation phenomenon has a significant effect on rockfall risk assessment. This information is difficult to obtain, but it is key to improving rockfall modelling. For this reason, the RockModels team has gathered data on the fragmentation of several natural events since 2014 that nowadays wants to share them with professionals, academics and stakeholders. The best way for the dissemination of this information is the use of standard or data specifications in order to be interoperable. A fragmentation rockfall database has been created using all the gathered information, according to the INSPIRE Natural Hazard Area Data Specification currently in force. However, new tables have had to be added, since this specification does not consider fragmentation data. There are currently 6000 records of geometries of source areas, envelopes, deposits and mostly individual blocks. A web mapping application, with an automatic function for coordinate reference system transformation, has been created to facilitate access to the spatial database information. All that was developed on open-source software such as OpenLayers JavaScript library, database (PostGre-PostGIS) and the map generating Web Map Service (GeoServer). As more data are collected, the database can be easily updated and the new information will be published. Moreover, to improve data interpretation, a future task is to incorporate 3D models on the web application. The existence of this public database will facilitate research and advance in knowledge of this kind of natural hazards.
Graphical abstract

Rockfall volume distribution inventory data.

Georeferenced rockfall database including fragmentation data according to Technical Data Specifications of INSPIRE for natural hazards zone.

Database mapping of rockfall inventory data in a WMS open access.

Geometric modelling and geovisualization to fragmentation process in rockfall investigations.
Vehicles for Drug Administration to Children: Results and Learnings from an In-Depth Screening of FDA-Recommended Liquids and Soft Foods for Product Quality Assessment
Authors: Freerks Lisa , Sucher Wenke , Tarnow Marie-Josefin , Eckert Carolin , Klein Sandra 
Published: March 2022

Abstract
Purpose
Mixing with liquids or soft foods is a common procedure to improve acceptability of oral medicines in children but may affect drug stability and the in vivo performance of the administered drug product. The aim of the present study was to obtain an overview of the variability of critical attributes of commonly used vehicles and to identify which vehicle characteristics need to be considered when developing in vitro methods for evaluating product quality.

Methods
One product of each vehicle listed in the FDA draft guidance “Use of Liquids and/or Soft Foods as Vehicles for Drug Administration” was analyzed with regard to composition, calorific content and physicochemical properties.

Results
The studied vehicles show wide variability, both in composition and physicochemical properties. No correlation was observed between vehicle composition and physicochemical properties. Comparison of results of the present study with previously published data also provided variability in physicochemical properties within individual vehicle types.

Conclusions
To identify acceptable (qualified) vehicles for global drug product labeling, it is important that the vehicles selected for in vitro compatibility screening reflect the variability in composition and essential physicochemical properties of the vehicles recommended on the product label, rather than relying on results obtained with a single vehicle of each type. Future activities will focus on the development of standardized dosing vehicles that can represent key vehicle characteristics in all their variability to ensure reliable risk assessment.
Using Structural Equation Modeling to Untangle Pathways of Risk Factors Associated with Incident Type 2 Diabetes: the Lifelines Cohort Study
Authors: Duan Ming-Jie , Dekker Louise H. , Carrero Juan-Jesus , Navis Gerjan 
Published: March 2022

AbstractRisk factors for type 2 diabetes are multifaceted and interrelated. Unraveling the complex pathways of modifiable risk factors related to incident type 2 diabetes will help prioritize prevention targets. The current analysis extended a previously proposed conceptual model by Bardenheier et al. (Diabetes Care, 36(9), 2655–2662, 2013) on prediabetes with a cross-sectional design. The model described the pathways of four aspects of modifiable risk factors in relation to incident type 2 diabetes, including socioeconomic status (income and education); lifestyle behaviors (diet quality, physical activity, TV watching, smoking, risk drinking, and unhealthy sleep duration); clinical markers (HDL-cholesterol, triglycerides, BMI, and waist circumference); and blood pressure. We performed structural equation modeling to test this conceptual model using a prospective population-based sample of 68,649 participants (35–80 years) from the Lifelines cohort study. During a median follow-up of 41 months, 1124 new cases of type 2 diabetes were identified (incidence 1.6%). The best-fitting model indicated that among all modifiable risk factors included, waist circumference had the biggest direct effect on type 2 diabetes (standardized β-coefficient 0.214), followed by HDL-cholesterol (standardized β-coefficient − 0.134). Less TV watching and more physical activity were found to play an important role in improving clinical markers that were directly associated with type 2 diabetes. Education had the biggest positive effects on all lifestyle behaviors except for unhealthy sleep duration. Our analysis provides evidence to support that structural equation modeling enables a holistic assessment of the interplay of type 2 diabetes risk factors, which not only allows the estimation of their total effects but also prioritization of prevention targets. Regarding the current guideline for diabetes prevention, waist management in addition to BMI control (clinical level), as well as less TV watching in addition to more physical activity (behavioral level), may provide additional public health benefits. Better education would be the main societal goal for the prevention of type 2 diabetes.
Topic-based classification and identification of global trends for startup companies
Authors: Savin Ivan , Chukavina Kristina , Pushkarev Andrey 
Published: March 2022

Abstract
To foresee global economic trends, one needs to understand the present startup companies that soon may become new market leaders. In this paper, we explore textual descriptions of more than 250 thousand startups in the Crunchbase database. We analyze the 2009–2019 period by using topic modeling. We propose a novel classification of startup companies free from expert bias that contains 38 topics and quantifies the weight of each of these topics for all the startups. Taking the year of establishment and geographical location of the startups into account, we measure which topics were increasing or decreasing their share over time, and which of them were predominantly present in Europe, North America, or other regions. We find that the share of startups focused on data analytics, social platforms, and financial transfers, and time management has risen, while an opposite trend is observed for mobile gaming, online news, and online social networks as well as legal and professional services. We also identify strong regional differences in topic distribution, suggesting certain concentration of the startups. For example, sustainable agriculture is presented stronger in South America and Africa, while pharmaceutics, in North America and Europe. Furthermore, we explore which pairs of topics tend to co-occur more often together, quantify how multisectoral the startups are, and which startup classes attract more investments. Finally, we compare our classification to the one existing in the Crunchbase database, demonstrating how we improve it.
Deciphering Redox State for a Metal-Rich World
Authors: McCoy Timothy J. , Dibb Steven D. , Peplowski Patrick N. , Maurel Clara , Bercovici Hannah L. , Corrigan Catherine M. , Bell James F. , Weiss Benjamin P. , Lawrence David J. , Wenkert Daniel D. , Prettyman Thomas H. , Elkins-Tanton Lindy T. 
Published: March 2022

AbstractThe Psyche mission’s Oxidation-Reduction Working Group is focused on understanding, determining, and applying the redox state of (16) Psyche to understand the origin of a metal-rich world. The oxidation-reduction state of an asteroid, along with its temperature, parent body size, and composition, is a key parameter in determining the history of an asteroid. Determining the redox state from spacecraft data is most easily done by examining potential metal-oxide buffer pairs. The occurrence of Ni, Fe, C, Cr, P and Si, in that order, in the metal or sulfide phase of an asteroidal body indicates increasingly reduced conditions. Key observations by the Imager and Gamma-Ray and Neutron Spectrometer (GRNS) of Psyche can bracket the redox state using metal-oxide buffers. The presence of Fe,Ni metal can be confirmed by the ratios of Fe/O or Fe/Si and the concentration of Ni variability in metal across the asteroid can be determined by GRNS. The FeO concentration of silicates is complementary to the Ni concentration of metal and can be constrained using filters on the Imager. The presence of FeO in silicates from ground-based observations is one of the few measurements we already have of redox state, although available data permit a wide range of silicate compositions and mineralogies. The presence of C, P or Si concentrated in the metallic, Fe-rich portion of the asteroid, as measured by GRNS, or Ca-sulfide, determined by imaging, would indicate increasingly reducing conditions. Linkage to known types of meteorites, whether metal-rich chondrites, stony-irons or irons, expands the mineralogical, chemical and isotopic data not available from remote observations alone. Redox also controls both silicate and metal mineralogy, influencing differentiation, solidification, and subsolidus cooling, including the relative abundance of sulfur in the core and possible magnetic signatures. The redox state of Psyche, if a fully-differentiated metallic core, might constrain the location and timing of both the formation of Psyche and any oxidation it might have experienced.
Conceptual challenges for interpretable machine learning
Authors: Watson David S. 
Published: March 2022

AbstractAs machine learning has gradually entered into ever more sectors of public and private life, there has been a growing demand for algorithmic explainability. How can we make the predictions of complex statistical models more intelligible to end users? A subdiscipline of computer science known as interpretable machine learning (IML) has emerged to address this urgent question. Numerous influential methods have been proposed, from local linear approximations to rule lists and counterfactuals. In this article, I highlight three conceptual challenges that are largely overlooked by authors in this area. I argue that the vast majority of IML algorithms are plagued by (1) ambiguity with respect to their true target; (2) a disregard for error rates and severe testing; and (3) an emphasis on product over process. Each point is developed at length, drawing on relevant debates in epistemology and philosophy of science. Examples and counterexamples from IML are considered, demonstrating how failure to acknowledge these problems can result in counterintuitive and potentially misleading explanations. Without greater care for the conceptual foundations of IML, future work in this area is doomed to repeat the same mistakes.
Can Ikigai Predict Anxiety, Depression, and Well-being?
Authors: Wilkes Juliet , Garip Gulcan , Kotera Yasuhiro , Fido Dean 
Published: March 2022

AbstractThe Japanese construct of ikigai reflects a sense of having ‘purpose in life’ or a ‘reason for living and has been associated with a variety of positive health outcomes. However, to date little research into ikigai exists within Western populations. This study explored the predictive power of ikigai for measures of well-being, depression, and anxiety in an adult Western population. Ninety-four participants (70% female) responded to an online survey. After accounting for the covariates of sex, age, employment status, and student status, multiple hierarchical regression indicated that ikigai positively predicted well-being and negatively predicted depression. While on its own, ikigai negatively predicted anxiety; this was not the case after accounting for the aforementioned covariates. The findings support the importance for investigating ikigai in the West and the need for further exploration of ikigai as a potential means of bringing about benefit in mental well-being.
Von der Viren-Schleuder zum Betreuungsobjekt?
Authors: Klundt Michael 
Published: March 2022

ZusammenfassungDer einleitende Beitrag skizziert die Entwicklung der Situation von Kindern in den beiden zurückliegenden Jahren der Corona-Pandemie und stellt die Beiträge des Themenschwerpunkts kurz vor.
Atrial fibrillation: trends in prevalence and antithrombotic prescriptions in the community
Authors: Joosten L. P. T. , de Boer A. R. , van Eerde E. J. B. , van Doorn S. , Hoes A. W. , Bots M. L. , Rutten F. H. , Geersing G. J. 
Published: March 2022

Abstract
Introduction
In the past decade, the atrial fibrillation (AF) landscape, including the treatment modalities, has drastically changed. This raises the question how AF prevalence and choices in antithrombotic therapy prescription have developed in the community over time.

Methods
Routine care data from the Julius General Practitioners’ Network (JGPN) were used to calculate the yearly prevalence of AF and to quantify the percentage of all patients who were prescribed a platelet inhibitor, vitamin K antagonist (VKA), non-VKA oral anticoagulant (NOAC) or no antithrombotic medication. To explore whether certain patient characteristics are associated with selective prescription of oral anticoagulants (OAC), we applied logistic regression analyses.

Results
From 2008 through 2017, the JGPN database included 7459 unique AF patients. During this period, the prevalence of AF increased from 0.4% to 1.4%. The percentage of patients prescribed a VKA declined from 47% to 41%, whereas the percentage of patients prescribed a NOAC rose from 0% to 20%. In patients with new-onset AF, older age, heart failure, diabetes mellitus, vascular disease and dementia were independently associated with a higher likelihood of VKA rather than NOAC prescription. In 2017, 25% of all patients with AF and a CHA2DS2-VASc score ≥ 2 were not prescribed OAC therapy (i.e. 8% with platelet inhibitor monotherapy and 17% without any antithrombotic therapy).

Conclusion
Between 2008 and 2017, AF prevalence in the community more than tripled. Prescription patterns showed possible ‘channelling’ of VKAs over NOACs in frailer, elderly patients, whereas still about one in every four AF patients with a CHA2DS2-VASc score ≥ 2 was not prescribed any prophylactic OAC therapy.
Innovate or game over? Examining effects of product innovativeness on video game success
Authors: Handrich Franziska , Heidenreich Sven , Kraemer Tobias 
Published: March 2022

AbstractIn recent years, the video game industry has invested significant amounts in the development of innovative elements for its products. However, it is still subject to debate whether these R&D investments always pay off. While prior research has confirmed that enhancing product innovativeness increases business performance in certain industries, corresponding findings for the video game market are lacking. This might be a result of missing theoretical conceptualizations and adequate empirical operationalizations of game innovativeness. Addressing this research gap, this study provides the first conceptualization and operationalization of game innovativeness, shedding first light on its performance effects. Based on longitudinal data on 351 computer games, our findings confirm that innovations in the game’s presentation and principle enhance short-term success, whereas innovations in a game’s storyline can be more of a hindrance than a godsend for companies. However, our results also show that performance effects of game innovativeness diminish over time.
Chronological Evolution of the Information-Driven Decision-Making Process (1950–2020)
Authors: Parra Xileidys , Tort-Martorell Xavier , Alvarez-Gomez Fernando , Ruiz-Viñals Carmen 
Published: March 2022

AbstractThe decision-making process (DMP) is essential in organizations and has changed due to multidisciplinary research, greatly influenced by the progress in information technologies and computational science. This work’s objective is analysing the progressive interaction between DMP and information technologies and the consequent breakthroughs in how business is conducted since 1950 to recent times. Therefore, a chronological review of the information-driven DMP evolvement is presented. The major landmarks that defined how technology influenced how information is generated, stored, managed, and used for making better decisions, minimizing the uncertainty and gaining knowledge, are covered. The findings showed that even if current data-driven trends in managerial decision making have led to competitive advantages and business opportunities, there is still a gap between the technological capabilities and the organizational needs. Nowadays, it has been reported that the adoption of technology solutions in many companies is faster than their capacity to adapt at managerial level. Aware of this reality, the “Circumplex Hierarchical Representation of Organization Maturity Assessment” (CHROMA) model has been developed. This tool makes it possible to evaluate whether the management of organizations is making decisions using the available data correctly and optimizing their information systems.
Molecular SARS-CoV-2 surveillance in Bavaria shows no Omicron transmission before the end of November 2021
Authors: Flechsler Jennifer , Eberle Ute , Dangel Alexandra , Hepner Sabrina , Wimmer Clara , Lutmayr Johannes , Konrad Regina , Berger Carola , Weise Laura , Sprenger Annika , Zeitler Jörg , Paravinja Natali , Angermeier Hildegard , Githure George , Schmidt Sandra , Treis Bianca , Okeyo Mercy , Liebl Bernhard , Ackermann Nikolaus , Sing Andreas ,   Bavarian SARS-CoV-Public Health Laboratory Team, Baborka Christoph , Bengs Katja , Berger Anja , Fingerle Volker , Herrmann Lorena , Hobmaier Bernhard , Kudella Patrick , Kukula Verena 
Published: March 2022

Abstract
Background
Five SARS-CoV-2 variants are currently considered as variants of concern (VOC). Omicron was declared a VOC at the end of November 2021. Based on different diagnostic methods, the occurrence of Omicron was reported by 52 countries worldwide on December 7 2021. First notified by South Africa with alarming reports on increasing infection rates, this new variant was soon suspected to replace the currently pre-dominating Delta variant leading to further infection waves worldwide.

Methods
Using VOC PCR screening and Next Generation Sequencing (NGS) analysis of selected samples, we investigated the circulation of Omicron in the German federal state Bavaria. For this, we analyzed SARS-CoV-2 surveillance data from our laboratory generated from calendar week (CW) 01 to 49/2021.

Results
So far, we have detected 69 Omicron cases in our laboratory from CW 47–49/2021 using RT-qPCR followed by melting curve analysis. The first 16 cases were analyzed by NGS and all were confirmed as Omicron.

Conclusion
Our data strongly support no circulation of the new Omicron variant before CW 47/2021.