bluuebunny/crossref_metadata_2025_split huggingface dataset:
The global, regional, and national burden of colorectal cancer in 204 countries and territories from 1990 to 2019
Authors: Wu Zhou , Chen Ke , Li Jianjiong , Dai Xiaoyu 
Published: February 2023

Abstract
Background
We aimed to estimate the global burden of colorectal cancer (CRC) between 1990 and 2019.

Methods
Data were extracted from the Global Burden of Disease study 2019. Estimated annual percentage changes (EAPCs) were calculated to quantify temporal trends in the age-standardized rates of CRC incidence, deaths, and disability-adjusted life-years (DALYs) by age, sex, region, and country. The correlations of EAPCs in the age-standardized rates with sociodemographic index (SDI) were also analyzed.

Results
From 1990 to 2019, the CRC incidence, deaths, and DALYs increased worldwide by 157%, 110%, and 96%, respectively. The global age-standardized incidence rate increased (EAPC, 0.58; 95% confidence interval [CI], 0.51–0.66), whereas both the age-standardized death rate (EAPC, −0.21; 95% CI, −0.28 to −0.14) and age-standardized DALY rate (EAPC, −0.21; 95% CI, −0.26 to −0.15) presented downward trends. As for regions, the largest increases in the age-standardized incidence rate, age-standardized death rate, and age-standardized DALY rate were observed in East Asia. In terms of countries, the largest increase in CRC incidence was found in Equatorial Guinea (3.98), followed by Vietnam (3.79) and China (3.66). The age-standardized incidence rate was higher in men than in women. Negative correlations were found between the EAPC in the age-standardized incidence rate of CRC and the SDI.

Conclusions
Future CRC preventive strategies should focus on the male population and older adults, especially in East Asia, Qatar, United Arab Emirates, Saudi Arabia, and other high-risk regions.
Shaking table test of steel truss frame focusing on acceleration and strain response for post-earthquake buckling evaluation
Authors: Iyama Jun , Ou Chih Chun , Yamada Satoshi , Chiba Kazuki , Toyoshima Manabu 
Published: February 2023

AbstractLarge-span steel structures have been widely adopted in stadiums, airports, factories, and train stations because they provide a large space for multi-functional use. To ensure business continuity, post-earthquake damage surveys and structural status estimation of such important and large-spaced buildings have attracted increasing attention. Structural health monitoring of buildings using accelerometers is already in widespread use; however, measuring the acceleration response alone cannot directly estimate the damage of individual structural members. Another potential approach is to measure strain; however, its application to building structures is very limited. The goal of this study is to establish a method for quantitatively determining the damage of a large-scale truss structure immediately after an earthquake. Truss structure specimens were statically loaded or shaken by a shaking table to cause buckling damage, and the relationship between the changes in acceleration and strain response before and after buckling and the progress of the damage were investigated. The response properties of both acceleration and strain changed as buckling damage progressed. However, the strain amplitude measured on the chord members showed significant change according to the progress of buckling damage, while the changes in the predominant frequency and mode shape calculated from the acceleration response were small. It was shown that the observed out-of-plane deformation was almost linear to the strain response, indicating the possibility of quantitative assessment of damage by strain measurement.
Effect of software development course on programming self-efficacy
Authors: Kovari Attila , Katona Jozsef 
Published: February 2023

AbstractNegative attitudes and perceptions on programming impair the effectiveness of learning programming skills. In this study the attitude related to programming, problem solving, and self-views on importance of IT/programming knowledge were assessed by pre- and post-test completed at the beginning and at the end of a software development course. The study was conducted using an online questionnaire and four different dimensions were measured by a survey consisting 23 items. The results show positive moderate associations between self-commitment in problem solving and algorithmic and problem solving ability and negative weak relationship with lack of self-confidence in programming. K-means algorithm showed that the students could be classified into two main groups stronger and weaker self-confidence in programming. In the case of both clusters, it was possible to achieve a positive change in attitudes related to programming. In the case of weaker self-confidence in programming, a greater change can be observed in the attitudes, which can be considered an important result from the point of view of the effectiveness of the software development course. The research presented in the article proves that attitudes related to programming can be influenced in a positive direction both in the case of those with stronger, but even more so in the case of those with weaker attitudes.
Sustainability trends and gaps in the textile, apparel and fashion industries
Authors: Abbate Stefano , Centobelli Piera , Cerchione Roberto , Nadeem Simon Peter , Riccio Emanuela 
Published: February 2023

AbstractTextile, apparel, and fashion (TAF) industries contribute significantly to global environmental pollution at every point of the supply chain. Clothing manufacturing and transportation produce a large volume of waste and high greenhouse gas emissions, often taking advantage of cheap labor in developing countries. As a result, stakeholders are becoming more aware of the effect of the textile, apparel, and fashion industries on the climate and human rights, thus pushing businesses to mitigate their environmental damage. This paper offers a systematic literature review of sustainability trends in the TAF industries in the last 20 years. Bibliometric tools are also used to support the content analysis of the papers. The findings reveal three primary research areas in the TAF context: consumers’ behaviour towards sustainable clothing, circular economy initiatives, and sustainability challenges across the whole supply chain. As a result, this study highlights literature gaps and provides future research suggestions for each identified research cluster. In addition, drivers and barriers to implementing corporate social responsibility and circular economy practices are identified. Consequently, this study will help researchers and academicians work in this area to identify unexplored sub-fields, which reflect some potential investigation areas for expanding scientific literature on the topic. Finally, this study supports practitioners and managers in exploring the main research themes addressed in the scientific field, providing knowledge to improve and align business models with current sustainability trends.
Minimizing Resource Allocation for Cloud-Native Microservices
Authors: Erdei Roland , Toka Laszlo 
Published: February 2023

AbstractWith the continuous progress of cloud computing, many microservices and complex multi-component applications arise for which resource planning is a great challenge. For example, when it comes to data-intensive cloud-native applications, the tenant might be eager to provision cloud resources in an economical manner while ensuring that the application performance meets the requirements in terms of data throughput. However, due to the complexity of the interplay between the building blocks, adequately setting resource limits of the components separately for various data rates is nearly impossible. In this paper, we propose a comprehensive approach that consists of measuring the resource footprint and data throughput performance of such a microservices-based application, analyzing the measurement results by data mining techniques, and finally formulating an optimization problem that aims to minimize the allocated resources given the performance constraints. We illustrate the benefits of the proposed approach on Cortex, an extension to Prometheus for storing monitored metrics data. The data-intensive nature of this illustrative example stems from real-time monitoring of metrics exposed by a multitude of applications running in a data center and the continuous analysis performed on the collected data that can be fetched from Cortex. We present Cortex’s performance vs resource footprint trade-off, and then we build regression models to predict the microservices’ resource consumption and draw a mathematical programming formulation to optimize the most important configuration parameters. Our most important finding is the linear relationship between resource consumption and application performance, which allows for applying linear regression and linear programming models. After the optimization, we compare our results to Cortex’s recommendation, leading to a CPU reservation reduced by 50–80%.
Back and forth: day–night alternation between cover types reveals complementary use of habitats in a large herbivore
Authors: De Groeve Johannes , Van de Weghe Nico , Ranc Nathan , Morellet Nicolas , Bonnot Nadège C. , Gehr Benedikt , Heurich Marco , Hewison A. J. Mark , Kröschel Max , Linnell John D. C. , Mysterud Atle , Sandfort Robin , Cagnacci Francesca 
Published: February 2023

Abstract
Context
The Complementary Habitat Hypothesis posits that animals access resources for different needs by moving between complementary habitats that can be seen as ‘resource composites’. These movements can occur over a range of temporal scales, from diurnal to seasonal, in response to multiple drivers such as access to food, weather constraints, risk avoidance and human disturbance. Within this framework, we hypothesised that large herbivores cope with human-altered landscapes through the alternate use of complementary habitats at both daily and seasonal scales.

Objectives
We tested the Complementary Habitat Hypothesis in European roe deer (Capreolus capreolus) by classifying 3900 habitat-annotated movement trajectories of 154 GPS-monitored individuals across contrasting landscapes.

Methods
We considered day-night alternation between open food-rich and closed refuge habitats as a measure of complementary habitat use. We first identified day–night alternation using the Individual Movement - Sequence Analysis Method, then we modelled the proportion of day–night alternation over the year in relation to population and individual characteristics.

Results
We found that day-night alternation is a widespread behaviour in roe deer, even across markedly different landscapes. Day–night alternation followed seasonal trends in all populations, partly linked to vegetation phenology. Within populations, seasonal patterns of open/closed habitat alternation differed between male and female adults, but not in juveniles.

Conclusion
Our results support the Complementary Habitat Hypothesis by showing that roe deer adjust their access to the varied resources available in complex landscapes by including different habitats within their home range, and sequentially alternating between them in response to seasonal changes and individual life history.
Friends as a language learning resource in multilingual primary school classrooms
Authors: Bushati Bora , Kedia Gayannée , Rotter Daniela , Christensen Alexander P. , Krammer Georg , Corcoran Katja , Schmölzer-Eibinger Sabine 
Published: February 2023

AbstractInteractions with classroom friends may be an important contributor to first and second language development, but to date this hypothesis has not been tested. Using a longitudinal design, the current study investigated the relationship between classroom friendships and oral language development in children. In 8 classrooms, we assessed the relationship between oral language skills and classroom social networks. Across the classrooms, 165 primary school children in Austria (83 boys; 119 L2 learners; age: 6–10) were assessed on oral language proficiency at the beginning of the school year (T1) and 6–7 months later (T2). Results indicated that the more reciprocal best friendships at T1, the greater language improvement at T2. Language improvement was strongest among friends with moderate differences in language proficiency, regardless of whether students were first or second language learners. These results underline the importance of positive social relations at school for language learning broadly.
Extreme Heat and COVID-19 in New York City: An Evaluation of a Large Air Conditioner Distribution Program to Address Compounded Public Health Risks in Summer 2020
Authors: Lane Kathryn , Smalls-Mantey Lauren , Hernández Diana , Watson Siobhan , Jessel Sonal , Jack Darby , Spaulding Leanne , Olson Carolyn 
Published: February 2023

AbstractIn summer 2020, New York City (NYC) implemented a free air conditioner (AC) distribution program in response to the threats of extreme heat and COVID-19. The program distributed and installed ACs in the homes of nearly 73,000 older, low-income residents of public and private housing. To evaluate the program’s impact, survey data were collected from October 2020 to February 2021 via mail and online from 1447 program participants and 902 non-participating low-income NYC adults without AC as a comparison group. Data were examined by calculating frequencies, proportions, and logistic regression models. Participants were 3 times more likely to report staying home during hot weather in summer 2020 compared to non-participants (adjusted odds ratio [AOR] = 3.0, 95% confidence interval [CI] = 2.2, 4.1), with no difference between groups in summer 2019 (AOR = 1.0, CI = 0.8, 1.3). Participants were less likely to report that 2020 hot weather made them feel sick in their homes compared to non-participants (AOR = 0.2, CI = 0.2, 0.3). The program helped participants—low-income residents and primarily people of color—stay home safely during hot weather. These results are relevant for climate change health-adaptation efforts and heat-health interventions.
Was sind Bildungswissenschaften? Systematik vielfältiger Auffassungen in der wissenschaftlichen Literatur
Authors: Schreiber Felix , Cramer Colin 
Published: February 2023

ZusammenfassungUnter Bildungswissenschaft(en) wird in der wissenschaftlichen Literatur Unterschiedliches verstanden. So ist etwa in der disziplinären Erziehungswissenschaft und institutionalisierten Lehrer:innenbildung eine Vielfalt an Auffassungen von Bildungswissenschaft(en) zu beobachten. Zudem stehen die sich mit Bildungswissenschaft(en) verbindenden (teil‑)disziplinären Perspektiven, Methoden, Themen, Bezugstheorien usw. recht unverbunden nebeneinander. Bleiben die pluralen Auffassungen implizit, erschwert dies potenziell die Professionalisierung in der Lehrer:innenbildung sowie die Wissenschaftskommunikation in der Erziehungswissenschaft. Im Beitrag werden anhand eines systematisch-inhaltsanalytischen Vorgehens (Conceptual Systematic Review) die sich in der Literatur findenden Auffassungen von ‚Bildungswissenschaft(en)‘ bezüglich der Häufigkeit ihres Auftretens und ihrer Zusammenhänge analysiert. Im systematisch identifizierten Korpus finden sich 17 unterschiedliche Auffassungen von ‚Bildungswissenschaft(en)‘. In definitorischer Perspektive dominieren Auffassungen von Bildungswissenschaft(en) als ‚Komponente der Lehrer:innenbildung‘ oder als ‚(Neu‑)Bezeichnung für Pädagogik und Erziehungswissenschaft‘. Diskursiv sind Auffassungen von Bildungswissenschaft(en) im Sinne einer ‚kompetenzorientierten Neuordnung‘ und einer ‚reflexiven Ausweitung‘ prominent. Werden die Auffassungen nach ihrem Zusammenhang betrachtet, zeigen sich drei Cluster, die inhaltlich entweder auf die disziplinäre Struktur der Erziehungswissenschaft, die institutionellen Aufgaben der Lehrer:innenbildung oder ein methodisch engeres Forschungsprogramm verweisen. Im Ergebnis werden so die Vielfalt der Auffassungen expliziert und mögliche Relationierungen (Verhältnisbestimmungen) erleichtert. Die Vielfalt und einzelne Auffassungen von Bildungswissenschaft(en) werden aus Perspektive der disziplinären Erziehungswissenschaft sowie der institutionalisierten Lehrer:innenbildung diskutiert.
Relationaler Umgang mit Krisen von Jugendamtsfachkräften in der Fallarbeit hinsichtlich der Auswirkungen der Covid-19-Pandemie
Authors: Bastian Pascal , Benoit Megan , Freres Katharina , Posmek Jana 
Published: February 2023

ZusammenfassungÜber die Auswirkungen der Covid-19 Pandemie auf die Fallarbeit der Jugendämter liegt bislang noch wenig empirisches Wissen vor. Allerdings geben qualitative Studien eine Reihe von Hinweisen zur Bedeutung von Teamarbeit, zu expliziten und impliziten Handlungsweisen sowie zu Entscheidungspraktiken (Sense-Making) von Fachkräften im Kinderschutz. Diese Aspekte wurden durch die Lockdowns und die pandemiebedingten Schutzmaßnahmen weitgehend eingeschränkt. Daraus ergibt sich die Frage der vorliegenden Studie nach dem Umgang mit diesen Einschränkungen und den darauf bezogenen Umgang.Grundlage der Analyse bildet die kontrastive Auswertung von Telefoninterviews mit Fachkräften zweier Jugendämter. Aus einer relationalen Perspektive im Sinne Bruno Latours, die den Blick nicht alleine auf die jeweiligen Akteur*innen, sondern vielmehr auf deren Verbindungen und Vernetzungen untereinander richtet, werden zunächst Verschiebungen des Netzwerkes, in dem die Fälle üblicherweise bearbeitet werden, sichtbar. Diese Transformationen wurden auf der Grundlage der Interviews als krisenhaft erlebte Einschränkungen der üblichen Handlungspraxis herausgearbeitet. In den analysierten Daten lassen sich Handlungsweisen rekonstruieren, die sich als Umgang mit dieser Krise fassen lassen. Die Ergebnisse zeigen, dass die eigentliche Krise nicht in der abstrakten Vorstellung einer Viruspandemie, sondern vor allem im Wegbrechen von Fallarbeitsgewohnheiten zu finden ist.
Strain Rate-Dependent Anomalous Work Hardening of a Single-Crystalline CoNi-Base Superalloy
Authors: Vollhüter J. , Bezold A. , Karpstein N. , Köbrich M. , Spiecker E. , Göken M. , Neumeier S. 
Published: February 2023

AbstractThe deformation mechanisms operating in superalloys depend on different parameters such as composition, temperature and deformation rate. So far, the transition from shearing by APB-coupled dislocations to shearing under the formation of stacking faults has been studied exclusively as a function of temperature but not as a function of the strain rate. Therefore, interrupted compression tests with strain rates between 10–3 s−1 and 10–5 s−1 were performed on the single-crystalline CoNi-base superalloy ERBOCo-4 at a temperature of 850 °C. The evolution of the defect structures has been analyzed by conventional transmission electron microscopy. A change of the deformation mechanism from APB-coupled dislocation shearing to stacking fault shearing is found to depend on the strain rate. At lower strain rates, an increased stacking fault density is associated with a higher yield strength and higher work hardening rates at the early stages of plastic deformation due to a very high stacking fault density. After approximately 2.0 pct plastic strain, the stress reaches a plateau and decreases subsequently, which is associated with the formation and thickening of twins as shown by high-resolution scanning transmission electron microscopy. At higher strain rates, the work hardening rate is significantly lower in the early deformation stage. The role of segregation to planar defects and the influence of local phase transformations (LPT) at SESFs is further discussed in reference to the influence of the strain rate. The segregation of W as an η stabilizing element is found to be crucial for the formation of a local phase transformation in ERBOCo-4. At higher strain rates the phase transformation is hindered by insufficient W segregation, resulting in a higher twin density.
Correlation Between Process Parameters and Particle In-flight Behavior in AC-HVAF
Authors: Bobzin K. , Heinemann H. , Jasutyn K. 
Published: February 2023

AbstractA computational fluid dynamics model for understanding the HVAF process and the influence of the process parameters on the particle flight properties is investigated. Achieving this objective involves a novel approach to modeling the HVAF process with pressure inlet boundary conditions and integration of the mixing chamber. The study comprises the prediction of the flow fields described by a set of equations consisting of continuity, momentum, energy, and species transport. These equations are then solved with realizable k-ε turbulence model, a two-step chemistry model and eddy dissipation model to simulate the combustion reaction. Consequently, the interaction between the CoNiCrAlY alloy particles and the flow is modeled using a Lagrangian approach considering the forces acting on the particles and the heat transfer. The results show that the gas flow field is mainly affected by the compressed air and propane parameters. Furthermore, the flight behavior of the smaller particles is significantly influenced by the gas flow, while the larger particles tend to maintain their momentum and energy. Through the simulation model, an in-depth process understanding of the HVAF process can be achieved. More importantly, the model can be used as a tool for efficient process development.
A core IoT ontology for automation support in edge computing
Authors: Ghrab Sahar , Lahyani Imene , Yangui Sami , Jmaiel Mohamed 
Published: February 2023

AbstractService providers provision more and more Internet-of-Things (IoT) services in the cloud for dynamicity and cost-effectiveness purposes. This is made possible thanks to the introduction of edge computing that brings additional computing and resources for analytics close to the data sources and thus enables meeting the low latency requirement. Edge nodes should support (i) the heterogeneity of IoT devices (e.g., sensor, actuator) and (ii) characteristics (e.g., mobility, location awareness). IoT is already integrated to the hybrid cloud/edge environment. However, the ecosystem lacks of automation due to the previously mentioned characteristics. Indeed, edge nodes are often manually selected during deployment time, and most of the regular quality-of-service (QoS) management procedures remain difficult to implement. This paper introduces a comprehensive semantic model called EdgeOnto. It encompasses all concepts related to IoT applied in the context of edge computing. The ultimate goal of EdgeOnto is to automate the several steps that make up the IoT services lifecycle in hybrid cloud/edge environment. On the one hand, semantics enable an automatic discovery of the relevant edge nodes that are suitable to host and execute IoT services considering their requirements. On the other hand, it allows supporting the specific QoS procedures that are related to such setting (e.g., low latency, mobility, jitter). The core ontology was designed with the Protégé open-source tool. A smart strawberry farming use case was implemented and evaluated for illustration purposes. The results validate the accuracy and the precision of the designed semantic matchmaker.