bluuebunny/crossref_metadata_2025_split huggingface dataset:
Publishing Trends in Political Science: How Publishing Houses, Geographical Positions, and International Collaboration Shapes Academic Knowledge Production
Authors: Kaiser Tamás , Tóth Tamás , Demeter Marton 
Published: July 2023

AbstractEven though political science is one of the most extensive research fields within the social sciences, there is little scholarly knowledge about its publishing trends and the internationalization of the discipline. This paper analyzes international publishing by taking a close look at publishers, Scopus-indexed journals, articles, and author collaboration networks. The results show that the number of political science journals almost tripled between 2000 and 2022. Our descriptive analysis also reveals that only a few Western commercial international publishers, and Taylor & Francis in particular, dominate the publication of political science journals, and Western authors account for the majority of both academic papers and citations. Additionally, our research explores that the most prolific country in terms of publication within political science is still the United States, but the BRICS countries, especially India, Russia, and China, have achieved remarkable growth in their publication outputs. Finally, our network analysis suggests that the United States, the United Kingdom, Canada, and Australia occupy central positions in international collaborations among political scientists, but Asian, Eastern European and Latin-American regional networks have been developing in the last decade.
The psychological impact of the COVID-19 pandemic on the sense of life changes: The moderation effect of personality traits
Authors: Szepietowska Ewa Małgorzata , Zawadzka Ewa , Filipiak Sara 
Published: July 2023

AbstractThe main goal of the study was to enquire into the moderating role of personality characteristics for relationships between the impact of the COVID-19 pandemic and one's assessment of life changes experienced during the two-year period of the pandemic. Personality traits, as an internal system regulating ways of interpreting various life events, may play a role of a buffer in predicting the way an individual perceives these changes (positive vs. negative). Responses to an online survey were acquired from 492 adults of several nationalities. Most of them were Polish, Ukrainian, British and Brazilian. The study covered participants in the 18–70 age range (M = 34.14, SD = 13.17). The following research tools were used: the COVID-19 Sense of Life Changes Questionnaire, the Revised Impact of Event Scale, the Ten Item Personality Inventory. The demographic and medical data were gathered. The participants assessed that the pandemic time caused rather negative modifications in their lives. Negative perception of life changes co-occurred with a higher intensity of hyperarousal, avoidance and intrusion. A relationship between a lower tendency for intrusions or avoidance and positive evaluation of changes in some life domains was identified among respondents with low or moderate Conscientiousness and Agreeableness and low level of Emotional stability. These relationships were not observed in respondents with high levels of these personality traits. Personality is considered as substantial buffering factor for relationships between the impact of the pandemic as a traumatizing event and the feeling of life changes.
Risk of New-onset Stroke in Patients with Type 2 Diabetes with Chronic Kidney Disease on Sodium-glucose Co-transporter-2 Inhibitor Users
Authors: Jong Gwo-Ping , Lin Tsung-Kun , Liao Pei-Lun , Huang Jing-Yang , Yang Tsung-Yuan , Pan Lung-Fa 
Published: July 2023

AbstractClinical studies have investigated the effects of using sodium-glucose co-transporter-2 (SGLT2) inhibitors on the development of new-onset stroke (NOS) in patients with type 2 diabetes (T2D) and chronic kidney disease (CKD), but the findings are inconsistent. This study aimed to examine the association between the use of SGLT2 inhibitors and NOS risk in patients with T2D and CKD. We conducted a nationwide retrospective cohort study using data from the Taiwan Health Insurance Review and Assessment Service database for the years 2004 to 2019. The primary outcome was the risk of incident stroke, which was estimated using hazard ratios (HRs) and 95% confidence intervals (CIs). We used multiple Cox regression modeling to analyze the association between SGLT2 inhibitor use and the risk of stroke in patients with T2D and CKD. In a cohort of 113,710 patients with T2D and CKD who were using SGLT2 inhibitors and 227,420 patients with T2D and CKD who were not using SGLT2 inhibitors, after applying a 1:2 sex- and age-matching strategy, 2,842 and 7,169 NOS events were recorded, respectively. The event rate per 10,000 person-months was 10.60 (95% CI 10.21 to 11.03) for SGLT2 inhibitor users and 13.71 (13.39–14.03) for non-SGLT2 inhibitor users. After adjusting for the index year, sex, age, comorbidities, and concurrent medication, there was a decreased risk of NOS for SGLT2 inhibitor users (adjusted HR 0.80; 95% CI 0.77–0.84) compared with non-SGLT2 inhibitor users. The sensitivity test for the propensity score 1:1-matched analyses showed similar results (adjusted HR 0.80; 95% CI 0.76–0.84). The type of SGLT2 inhibitor subgroup analysis for incident stroke showed consistent results. We concluded that the use of SGLT2 inhibitors in patients with T2D and CKD was associated with significantly low rates of NOS. The significantly low rates of NOS in patients with T2D and CKD were greater among females and less than 50 years patients.
Feasibility of Microlearning for Improving the Self-Efficacy of Cancer Patients Managing Side Effects of Chemotherapy
Authors: Janssen Anna , Shah Kavisha , Rabbets Melanie , Nagrial Adnan , Pene Christopher , Zachulski Clare , Phillips Jane L. , Harnett Paul , Shaw Tim 
Published: July 2023

AbstractLung cancer patients have a high symptom burden that negatively affects their quality of life. Increasing patient self-efficacy to deal with treatment side effects can ameliorate their symptom burden. Education programs can help enhance patient self-efficacy by giving patients more control over their condition through increased disease literacy. This study aimed to evaluate the feasibility of microlearning for delivering lung cancer patients’ information on side effects of chemotherapy. Secondary objectives of the program are to understand the acceptability of microlearning for delivery this type of education to lung cancer patients and the potential impact of microlearning on patient self-efficacy, knowledge and confidence managing side effects of chemotherapy. A mixed-methods prepost test (or quasi-experimental) study design was used to better enable patients to identify and manage the side effects of their condition and chemotherapy. Participants were patients diagnosed with stage II to stage IV lung cancer, who had a life expectancy of greater than 3 months and were aged 18 years or older. Multiple validated scales were used to assess patient self-efficacy pre- and post-intervention. The online program was evaluated using quantitative data of completion rates extracted from the online platform. Semi-structured interviews were used to explore the impact of the online program on perceived self-efficacy and quality of life. Twenty-three participants agreed to participate in the study and five agreed to complete a semi-structured interview. Participants found the content comprehensive, relevant and engaging. The program improved perceived disease literacy and helped participants develop coping strategies to manage side effects. Participants also found the platform easy to use and navigate. Additional courses and features were requested. Patients with a diagnosis of cancer receive a large amount of information about the side effects of chemotherapy and how to manage them. This information is often provided soon after diagnosis or upon commencement of therapy, which can be overwhelming for some patients. Microlearning, a method of online learning that spaces distributing of content over several weeks, may be a useful tool for supporting delivering of health information to this group of patients.
The major role of spring trees in Ohio honey production for bees located in high and low agricultural intensity
Authors: McMinn-Sauder Harper , Lin Chia-Hua , Eaton Tyler , Johnson Reed 
Published: July 2023

AbstractNectar is the resource that sustains honey bee colonies through periods of dearth and provides the surplus honey beekeepers harvest for human consumption. While extensive information is available for plants that honey bees visit for pollen and nectar, we lack knowledge on which nectars are stored long-term as honey for harvest and support of colonies through winter. Here, we used citizen science methods and pollen metabarcoding analysis to identify the plants contributing most to honey samples harvested by beekeepers from apiaries with variable intensities of surrounding agriculture. A total of 36 samples were collected from 36 apiaries in Ohio in 2019, with an average of 3 plant genera detected per sample. We found similarity in honey samples collected from all apiaries, regardless of the proportion of agricultural land within a 2-km foraging range, with substantial amounts of honey stored from spring trees, including Salix (willow) and Prunus (cherry). This result suggests the importance of early-season resources regardless of agricultural intensity in the surrounding landscape. This study contributes to a body of work aiming to identify the nectars making it to long-term honey storage and those that are being consumed within the hive shortly after collection.
Train post-derailment behaviours and containment methods: a review
Authors: Tang Zhao , Hu Yuwei , Wang Shuangbu , Ling Liang , Zhang Jianjun , Wang Kaiyun 
Published: July 2023

AbstractRailway accidents, particularly serious derailments, can lead to catastrophic consequences. Therefore, it is essential to prevent derailment escalation to reduce the likelihood of severe derailments. Train post-derailment behaviours and containment methods play a critical role in preventing derailment escalation and providing passive safety protection and accident prevention in the event of a derailment. However, despite the increasing attention on this field from academia and industry in recent years, there is a lack of systematic exploration and summarization of emerging applications and containment methods in train post-derailment research. For this reason, this paper presents a comprehensive review of existing studies on train post-derailment behaviours, encompassing various topics such as post-derailment contact–impact models, dynamic modelling and simulation techniques, and the primary factors influencing post-derailment behaviours. Significantly, this review introduces and elucidates substitute guidance mechanisms (SGMs), which serve as railway-specific passive safety protection and accident prevention measures. The various types of SGMs are depicted, and their ongoing developments and applications are explored in depth. The review additionally points out several unresolved challenges including the adverse effects of SGMs, and proposes future research directions to advance the theoretical understanding and practical application of train post-derailment behaviours and containment methods. This review seeks to be a valuable reference for railway industry professionals in preventing catastrophic derailment consequences through post-derailment containment methods.
Development and validation of the teachers’ augmented reality competences (TARC) scale
Authors: Nikou Stavros A. , Perifanou Maria , Economides Anastasios A. 
Published: July 2023

AbstractWhile augmented reality (AR) can offer many advantages in education, one reason for the difficulty of integrating it in instructional practices is the lack of teachers’ AR competences. Therefore, there is an increasing need to address the required competences needed by teachers to effectively integrate augmented reality (AR) in their teaching. This study develops and validates a comprehensive augmented reality competences scale for teachers. The suggested instrument encompasses skills related to the creation, use and management of augment reality resources for teaching. The scale was validated on a sample of 150 educators from 45 countries teaching in primary, secondary or tertiary levels. Confirmatory factor analysis demonstrated valid results in terms of model fit criteria, factor loadings, validity, and reliability. The final scale is composed of 11 items and 4 competence components. Teaching subject, general digital skills and previous AR class experience revealed significant differences across the scale components, while gender and age did not reveal any significant associations. Educators in higher education institutions self-reported higher competence level for designing, developing, and modifying AR resources compared to secondary and primary levels. The scale can be used by educators to self-assess their AR competences, teacher professional development institutions and policy makers to develop training programs in AR and software companies to develop AR experiences that can empower educators.
A Two-Eyed Seeing Teaching and Learning Framework for Science Education
Authors: Cirkony Connie , Kenny John , Zandvliet David 
Published: July 2023

AbstractWorldwide, education jurisdictions are looking for authentic ways to address First Nations perspectives in the K-12 curriculum, including science education. At the same time, there have been ongoing efforts to integrate authentic and engaging approaches to teaching science, including those that are student-centred, inquiry-based, multimodal, and linked to meaningful contexts. Both goals may be realised through the principle of Two-Eyed Seeing (TES), which seeks to integrate the strengths of Indigenous ways of knowing with one eye, and Western ways of knowing with the other eye, for the benefit of all students. This theoretical paper presents a Two-Eyed Seeing for Science Education (TESSE) Framework, which brings together two pedagogical models. One is from a contemporary science perspective, the 5Es representation-rich inquiry approach, which scaffolds authentic student-centred conceptually focused learning experiences. The other is from an Indigenous perspective, the 8 Aboriginal Ways of Learning, which illustrates different ways of knowing—many of which are familiar with First Peoples across the world (e.g., place-based, visual, holistic). The TESSE Framework aims to act as a strengths-based interface between the two knowledge systems to support a culturally responsive approach to teaching and learning science. It is designed to support meaningful connections through curriculum and pedagogy in ways that are contextually relevant to place. Through empirical investigation and in collaboration with local communities, the Framework has the potential to inform current approaches to science education in schools and universities and provide a pathway towards decolonisation and reconciliation.
Phytoremediation as a Tool to Remove Drivers of Antimicrobial Resistance in the Aquatic Environment
Authors: Chowdhury Kaniz F. , Hall Rebecca J. , McNally Alan , Carter Laura J. 
Published: July 2023

AbstractAntimicrobials, heavy metals, and biocides are ubiquitous contaminants frequently detected in water bodies across the globe. These chemicals are known as drivers of antimicrobial resistance (AMR), as these chemicals can select for resistance. Tools and processes, are therefore, needed to remove these chemicals from the environment to tackle the environmental component of AMR. Aquatic phytoremediation is a nature-inspired green solution to remove contaminants from the environment. Phytoremediation utilises macrophytes’ ability to sequester and degrade chemical pollutants in aquatic environments. In this review, we define the problem statement by highlighting the presence of AMR drivers in the aquatic environment. We also provide an in-depth review of phytoremediation to tackle chemical pollution by evaluating mechanisms for the removal and degradation of chemicals. This review identifies potential hyper-accumulators and understands how plant species and chemical composition can influence the potential for accumulation. Different pollutants accumulate to different extents in a range of aquatic macrophytes. Therefore, the combined use of floating, submerged and emergent plants would facilitate the optimum removal of AMR drivers considered in this review. A suggested configuration includes Helianthus annus around the edge of a contaminated site, followed by a belt of submerged plants (Myriophyllum aquaticum) and a bed of floating plants (e.g., Lemna species) together with the hyperaccumulator, Phragmites australis. Whilst phytoremediation offers a promising option to treat contaminated water, several critical knowledge gaps still exist. The effect of co-exposure to contaminants on the accumulation potential of plants and the fate of antibiotic-resistant genes and bacteria during the phytoremediation process are highlighted in this review. Based on this understanding, targeted areas for future research are proposed.
Reduced CO2 footprint of buildings in agro-industrial communities in Qatar with improved insulation standards and solar cooling
Authors: Heithorst B. , Khan M. , Hassabou A. , Spinnler M. , Sattelmayer T. 
Published: July 2023

AbstractFood production in arid countries like Qatar is strongly linked to water and energy resources to grow plants or rear cattle in a protected and controlled environment. The high energy demand for air conditioning in agro-industrial communities leads to significant CO2 emissions. In a case-study on buildings that are typical in the agro-industrial sector, the reduction potential for these emissions is investigated. Therefore, greenhouses and community buildings with an insulation according to the Passivhaus standard and solar cooling with photovoltaic driven compression chillers are compared to conventional buildings.An innovative solar cooling system is developed: Power is generated in hybrid photovoltaic / thermal collectors to enhance the electric efficiency of the photovoltaic cells and to deliver heat for food processing or other purposes at a high temperature level. A compression chiller model is designed, that is based on the experimentally determined performance of the refrigeration cycle for the harsh operating conditions in Qatar. Different refrigerants are compared regarding their cycle performance and Global Warming Potential.A result of the study at hand is that greenhouses are very well suited for solar cooling since their cooling load is nearly congruent to photovoltaic power generation due to their low thermal inertia and radiative cooling during the night.The case study reveals that an insulation according to the Passivhaus standard combined with the proposed solar cooling system reduces the CO2 emissions caused by the air conditioning of greenhouses by 98% and of residential buildings by 94.7% compared to conventional buildings and air conditioning systems.
Halogenated volatile anaesthetics for prolonged sedation in pediatric intensive care unit: first experience in two French pediatric intensive care units
Authors: Berger Léo , Soreze Yohan , Rambaud Jérome , Starck Julie , Levy Yael , Tissières Pierre , Miatello Jordi , Morin Luc , Léger Pierre-Louis 
Published: July 2023

Abstract
Objective
Sedation is necessary for patients to achieve comfort and safety, but prolonged sedation can lead to the need for increased doses, resulting in withdrawal syndrome and delayed extubation. Inhaled anaesthetics (IAs) may cause less withdrawal syndrome while providing similar sedative effects to intravenous agents. This study aims to describe the efficacy of halogenated IAs during prolonged sedation and identify any adverse effects on the PICU.

Design
This is a retrospective, bicentric cohort study.

Setting
The study was conducted at two PICUs in university hospitals in Paris between January 2018 and December 2020.

Patients
The study included 50 children (aged 2.2 years, [0.8–7.2]) who received prolonged sedation (> 72 h) and were sedated with volatile anaesthetics for at least 24 h.

Interventions
No interventions were performed.

Measurements and main results
The study found a statistically significant reduction in benzodiazepine dosages (μg/kg/h) (118 [62.5; 200] vs 80.0 [32.5; 120], p < 0.01). Similar results were observed for other hypnotics (ketamine 2.00 [1.00; 2.00] vs 1.50 [1.00; 2.00], p = 0.036, mg/kg/h; clonidine: 0.55 [0.35; 1.27] vs 0.20 [0.12; 0.43], p = 0.036, μg/kg/h). For opioids (μg/kg/h), no significant reduction in doses was observed 24 h after IA introduction (4 [1.00; 8.00] vs 4.00 [1.00; 6.70], p = 0.7). No major adverse effects were reported, although 26% of patients developed withdrawal syndrome.

Conclusions
Halogenated IAs appear to be a promising therapy to reduce the dosages of hypnotics and opioids used during prolonged sedations.
Risk management with local least squares Monte Carlo
Authors: Hainaut Donatien , Akbaraly Adnane 
Published: July 2023

AbstractThe least squares Monte Carlo method has become a standard approach in the insurance and financial industries for evaluating a company’s exposure to market risk. However, the non-linear regression of simulated responses on risk factors poses a challenge in this procedure. This article presents a novel approach to address this issue by employing an a-priori segmentation of responses. Using a K-means algorithm, we identify clusters of responses that are then locally regressed on their corresponding risk factors. The global regression function is obtained by combining the local models with logistic regression. We demonstrate the effectiveness of the proposed local least squares Monte Carlo method through two case studies. The first case study investigates butterfly and bull trap options within a Heston stochastic volatility model, while the second case study examines the exposure to risks in a participating life insurance scenario.
Petty bribery, pluralistic ignorance, and the collective action problem
Authors: Hoffmann Leena K. , Patel Raj N. 
Published: July 2023

AbstractBribery for access to public goods and services remains a widespread and seemingly innocuous practice which disproportionately targets the poor and helps keep them poor. Furthermore, its aggregate effects erode the legitimacy of government institutions and their capacity to fairly administer public goods and services as well as protection under the law. Drawing on original evidence using social norms methodology, this research tests underlying beliefs and expectations which sustain persistent forms of bribery and draws attention to the presence of pluralistic ignorance and consequent collective action problems. With examples focused on bribery in traffic law enforcement, healthcare, and education—three critical areas where bribery is often identified as an entrenched practice—this article contributes new evidence of: (a) the presence of pluralistic ignorance, a common social comparison error, surrounding bribery behavior; (b) differing social evaluations of bribe-solicitation; and finally, (c) how this context might exacerbate collective action problems. This empirical case study of Nigeria shows that even though more people are likely to be directly affected by bribery during routine interactions with public officials and institutions and many believe this practice is wrong, most people incorrectly believe that others in their community tolerate or even accept bribery behavior.