bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of the variation of the 12-month prevalence of exposure to workplace bullying across national French working population subgroups
Authors: Niedhammer Isabelle , Pineau Elodie , Bertrais Sandrine 
Published: September 2022

Abstract
Objectives
The studies are lacking on the variation of the prevalence of exposure to workplace bullying according to subgroups of national working populations. The objectives were to assess the 12-month prevalence of bullying in the national French working population, to describe the reported reasons for bullying, and to study its variation according to various employment variables.

Methods
The study was based on the data of the 2013 national French working conditions survey. The study sample included 25,769 employees aged 15–65 working in the same job within the last 12 months. The 12-month prevalence of bullying was assessed using a 9-item questionnaire. Employment variables included: occupation, economic activity of the company, public/private sector, company size, permanent/temporary work contract, and full/part-time work. The analyses were performed using statistical methods for weighted survey data.

Results
The 12-month prevalence of bullying was 26.7% and 28.7% for men and women, respectively. The most prevalent forms of bullying were criticisms, exclusion, and deprivation of right of expression. The leading reasons for being bullied were related to occupation, age, and gender. The prevalence of bullying was higher among the younger employees, the employees working in medium/large companies (including the public sector), and among employees working full time. Though significant, the variations according to occupations and economic activities of the company were small.

Conclusion
Workplace bullying appeared as a widespread phenomenon in France. More attention should be given to young employees and the employees working in medium/large companies. Preventive measures should also target the whole working population comprehensively.
Your words went straight to my heart: the role of emotional prototypicality in the recognition of emotion-label words
Authors: Haro Juan , Calvillo Rocío , Poch Claudia , Hinojosa José Antonio , Ferré Pilar 
Published: September 2022

AbstractEmotional words differ in how they acquire their emotional charge. There is a relevant distinction between emotion-label words (those that directly name an emotion, e.g., “joy” or “sadness”) and emotion-laden words (those that do not name an emotion, but can provoke it, e.g., “party” or “death”). In this work, we focused on emotion-label words. These words vary in their emotional prototypicality, which indicates the extent to which the word refers to an emotion. We conducted two lexical decision experiments to examine the role played by emotional prototypicality in the recognition of emotion-label words. The results showed that emotional prototypicality has a facilitative effect in word recognition. Emotional prototypicality would ease conceptual access, thus facilitating the retrieval of emotional content during word recognition. In addition to the theoretical implications, the evidence gathered in this study also highlights the need to consider emotional prototypicality in the selection of emotion-label words in future studies.
Resistance to fosfomycin is increasing and is significantly associated with extended-spectrum β-lactamase-production in urinary isolates of Escherichia coli
Authors: Ríos Esther , del Carmen López Diaz María , Culebras Esther , Rodríguez-Avial Iciar , Rodríguez-Avial Carmen 
Published: September 2022

AbstractFosfomycin has become a therapeutic option in urinary tract infections. Our objective was to evaluate the in vitro activity of fosfomycin against Escherichia coli isolated from urine samples in 2013, 2018 and 2021. We also determined a putative association between fosfomycin resistance and extended-spectrum β-lactamases (ESBL) production. Fosfomycin activity was evaluated against 7367, 8128 and 5072 Escherichia coli urinary isolates in 2013, 2018 and 2021, respectively. We compare the prevalence of fosfomycin-resistant strains among the ESBL- and non-ESBL-producing isolates. MICs of fosfomycin, cefotaxime, and cefotaxime-clavulanate were determined by a microdilution method. 302 ESBL-producers were selected to determine MICs of fosfomycin by agar dilution and genes encoding ESBLs were detected by PCR. Among the total of ESBL-producing strains, 14.3%, 20.8% and 20% were resistant to fosfomycin in 2013, 2018 and 2021, respectively, whereas fosfomycin resistance in non-ESBL producers was 3.5%, 4.05% and 5.53% for each year (P ≤ 0.001). In the 302 selected ESBL-producing isolates, CTX-M was the main ESBL (228 isolates), being 50.7% CTX-M-15. Resistance to fosfomycin among these ESBL-producing strains was associated (P = 0.049) with isolates that produced the CTX-M type. Our data show that fosfomycin resistance is increasing in Escherichia coli urinary isolates and it is related to ESBL-production. A follow-up of fosfomycin resistance is required.
Measuring the indirect cost associated with advanced non-small cell lung cancer: a nationwide cross-sectional study in China
Authors: Yang Yi , Xia Yu , Su Chunxia , Chen Jia , Long Enwu , Zhang Haibo , Gan Yuying , Yan Fei , Chen Yingyao 
Published: September 2022

Abstract
Purpose
This study was conducted to estimate the indirect cost of locally advanced and metastatic non-small cell lung cancer (NSCLC) without sensitizing EGFR and ALK alterations in China and explore the predictors from both patient and caregiver perspectives.

Methods
Data were obtained from a nationwide cross-sectional study for the patients with advanced NSCLC (stage IIIB–IV) and their caregivers. Indirect medical cost was estimated as health productivity loss based on self-reported income and loss of work time. The generalized linear model was used to assess the independent associations between statistically significant variables and indirect economic burden.

Results
611 pairs of patients and patient caregivers from 13 medical centers in five provinces in China participated in this investigation. The indirect medical cost associated with advanced NSCLC since the patient diagnosed was $1413 per capita in China. General linear regression results showed that the indirect medical cost was significantly influenced by duration of disease since diagnosis, treatment options, caregivers’ occupation and age (P < 0.05).

Conclusion
The indirect economic burden linked to advanced NSCLC in China is considerable on patients, and their caregivers. To minimize the severe challenges of indirect economic burden related to advanced NSCLC, expanding the coverage of the medical insurance and assistance system to reimburse part of the indirect costs related to cancer, as well as strengthening the accessibility for more effective therapies to improve the prognosis of advanced NSCLC, and further promote the patients and their caregivers to return to work or normal life may be the potentially feasible approaches.
Choosing multiple linear regressions for weather-based crop yield prediction with ABSOLUT v1.2 applied to the districts of Germany
Authors: Conradt Tobias 
Published: September 2022

AbstractABSOLUT v1.2 is an adaptive algorithm that uses correlations between time-aggregated weather variables and crop yields for yield prediction. In contrast to conventional regression-based yield prediction methods, a very broad range of possible input features and their combinations are exhaustively tested for maximum explanatory power. Weather variables such as temperature, precipitation, and sunshine duration are aggregated over different seasonal time periods preceding the harvest to 45 potential input features per original variable. In a first step, this large set of features is reduced to those aggregates very probably holding explanatory power for observed yields. The second, computationally demanding step evaluates predictions for all districts with all of their possible combinations. Step three selects those combinations of weather features that showed the highest predictive power across districts. Finally, the district-specific best performing regressions among these are used for actual prediction, and the results are spatially aggregated. To evaluate the new approach, ABSOLUT v1.2 is applied to predict the yields of silage maize, winter wheat, and other major crops in Germany based on two decades of data from about 300 districts. It turned out to be absolutely crucial to not only make out-of-sample predictions (solely based on data excluding the target year to predict) but to also consequently separate training and testing years in the process of feature selection. Otherwise, the prediction accuracy would be over-estimated by far. The question arises whether performances claimed for other statistical modelling examples are often upward-biased through input variable selection disregarding the out-of-sample principle.
Difference in medical service use among Korean gastric cancer survivors according to regional healthcare vulnerabilities: a cohort study
Authors: Jeong Sung Hoon , Joo Jae Hong , Park Minah , Yun Choa , Kang Soo Hyun , Park Eun-Cheol , Han Yoon Dae , Jang Sung-In 
Published: September 2022

Abstract
Purpose
This study investigated the relationship between medical service use and healthcare vulnerability, pre- and post-gastric cancer diagnosis. Differences between healthcare-vulnerable and healthcare-nonvulnerable regions identified inequities that require intervention.

Methods
This cohort study was done using the National Health Insurance claims data of patients diagnosed with gastric cancer between 2004 and 2013. The Position Value for Relative Comparison Index was used to determine whether the patients lived in a healthcare-vulnerable region. Medical service use was classified into annual outpatient treatment, hospitalization days, and emergency treatment. We used a generalized linear model to which the Poisson distribution was applied and compared regional differences in medical service use.

Results
A total of 1797 gastric cancer patients who had survived 5 years post-diagnosis were included in the study, of which 14.2% lived in healthcare-vulnerable regions. The patients in vulnerable regions surviving 5–7 years post-diagnosis had a higher number of outpatient visits than those in nonvulnerable regions. Furthermore, hospitalization days were lesser for patients in vulnerable regions who survived 6 years post-diagnosis than those in nonvulnerable regions; however, this number increased in the seventh year.

Conclusions
Our results suggest that gastric cancer survivors living in healthcare-vulnerable regions have a higher probability of increased medical service use 5 years post-diagnosis compared with patients in nonvulnerable regions, which may significantly increase healthcare disparities over time. Therefore, in the future, additional research is needed to elucidate the causes of the disparities in healthcare use and the results of the differences in health outcomes.
MEDIC: a multi-task learning dataset for disaster image classification
Authors: Alam Firoj , Alam Tanvirul , Hasan Md. Arid , Hasnat Abul , Imran Muhammad , Ofli Ferda 
Published: September 2022

AbstractRecent research in disaster informatics demonstrates a practical and important use case of artificial intelligence to save human lives and suffering during natural disasters based on social media contents (text and images). While notable progress has been made using texts, research on exploiting the images remains relatively under-explored. To advance image-based approaches, we propose MEDIC (https://crisisnlp.qcri.org/medic/index.html), which is the largest social media image classification dataset for humanitarian response consisting of 71,198 images to address four different tasks in a multi-task learning setup. This is the first dataset of its kind: social media images, disaster response, and multi-task learning research. An important property of this dataset is its high potential to facilitate research on multi-task learning, which recently receives much interest from the machine learning community and has shown remarkable results in terms of memory, inference speed, performance, and generalization capability. Therefore, the proposed dataset is an important resource for advancing image-based disaster management and multi-task machine learning research. We experiment with different deep learning architectures and report promising results, which are above the majority baselines for all tasks. Along with the dataset, we also release all relevant scripts (https://github.com/firojalam/medic).
Irregular $${{\mathcal {B}}}$$-free Toeplitz sequences via Besicovitch’s construction of sets of multiples without density
Authors: Keller Gerhard 
Published: September 2022

AbstractModifying Besicovitch’s construction of a set$${{\mathcal {B}}}$$Bof positive integers whose set of multiples$${{\mathcal {M}}}_{{\mathcal {B}}}$$MBhas no asymptotic density, we provide examples of such sets$${{\mathcal {B}}}$$Bfor which$$\eta :=1_{{\mathbb {Z}}\setminus {{\mathcal {M}}}_{{\mathcal {B}}}}\in \{0,1\}^{\mathbb {Z}}$$η:=1Z\MB∈{0,1}Zis a Toeplitz sequence. Moreover our construction produces examples, for which$$\eta $$ηis not only quasi-generic for the Mirsky measure (which has discrete dynamical spectrum), but also for some measure of positive entropy. On the other hand, modifying slightly an example from Kasjan, Keller, and Lemańczyk, we construct a set$${{\mathcal {B}}}$$Bfor which$$\eta $$ηis an irregular Toeplitz sequence but for which the orbit closure of$$\eta $$ηin$$\{0,1\}^{\mathbb {Z}}$${0,1}Zis uniquely ergodic.
Characterization of shear zones in soft granular beds by means of a novel magnetic resonance imaging technique
Authors: Wang Jing , Farmani Zohreh , Dijksman Joshua A. , Lübeck Cindy , Speck Oliver , Stannarius Ralf 
Published: September 2022

AbstractWe introduce a new Magnetic Resonance Imaging technique to study the geometry of shear zones of soft, low-frictional and hard, frictional granular materials and their mixtures. Hydrogel spheres serve as the soft, low-frictional material component, while mustard seeds represent rigid, frictional grains. Some of the hydrogel spheres are doped with $$\hbox {CuSO}_4$$

CuSO
4

salt to serve as tracers. A cylindrical split-bottom cell is sheared stepwise and the shear profiles are determined from the differences of tomograms after successive shear steps, using Particle Imaging Velocimetry and Particle Tracking Velocimetry. We find that the shear zone geometry differs considerably between soft grains submersed in water and the same material without the embedding fluid.
Graphic abstract
New granulometric expressions for estimating permeability of granular drainages
Authors: Díaz-Curiel Jesús , Miguel María J. , Biosca Bárbara , Arévalo-Lomas Lucía 
Published: September 2022

AbstractThis paper describes a new formulation for estimating the permeability of drainages composed of natural sands with no clay content, starting from the parameters obtained from the grain size distribution. The conventional relationships for estimating permeability are functions of granulometric factors and porosity. However, for media typically used as drainage, the grain size grading is a determinant factor, so the porosity dependence can be replaced by a function of the average grain size and grading. The methodology used in this study consists of fitting a set of measured permeability values to a joint expression of the average grain size and the granulometric grading coefficient. To this end, a new effective diameter that can be obtained numerically and graphically is defined, and the permeability relationship is solely dependent on this diameter. To estimate later changes in drainage packing and the consequent variations in porosity, a contrasting modification of the Kozeny–Carman equation is established. This equation considers the grain size grading and is applicable to any granular media.
Cross-scale collaboration for adaptation to climate change: a two-mode network analysis of bridging actors in Switzerland
Authors: Braunschweiger Dominik 
Published: September 2022

Abstract
Adaptation to the impacts of climate change has become an increasingly important policy field in recent years, but it is complicated due to ambiguous responsibilities. To ensure the coherence of adaptation policies, cooperation is necessary between sectors as well as between administrative levels. As such, fragmentation between both sectors and levels is a huge challenge for the successful formulation and implementation of climate change adaptation policies. Bridging actors who coordinate actions across levels and sectors play an important role in overcoming this challenge. Through means of social network analysis, I investigate which actors occupy key bridging roles in the multi-level and federalist arrangement of Swiss climate change adaptation governance. I analyse a two-mode network of actors and climate change adaptation measures, conducting a complete inventory of all measures and policies carried out in the context of the Swiss adaptation strategy as well as all actors involved in their design, funding and implementation. I find that federal governmental actors occupy the most important bridging roles. However, for the most part, they seem more focused on building cross-sectoral ties than on building cross-level ties. The Swiss Federal Office for the Environment (FOEN) stands out as the one national authority that managed to establish almost as many cross-level ties as cross-sectoral ties through the coordination of an adaptation funding programme. Thus, while adaptation measures will primarily be implemented on the municipal level, higher level actors still have a vital role to play in promoting municipal efforts, fostering collaboration and reducing fragmentation.
Natural and Indigenous sciences: reflections on an attempt to collaborate
Authors: Kater Ilona 
Published: September 2022

AbstractNatural scientists are increasingly being encouraged to engage with local and Indigenous communities when carrying out research. However, these attempts at collaboration can repeatedly bring up challenges that have their root in how the different stakeholders relate to one another throughout the research process. This essay explores the experiences of the author, an early career researcher trained in the natural sciences, in her attempts to undertake interdisciplinary collaborative work with Sámi reindeer herders in Northern Europe. Whilst underpinned with good intent of creating decolonial, collaborative and locally useful research, the practice of this work lacked awareness of how to do so effectively, leading to multiple challenges in the project. This was largely due to the author having an inadequate understanding of key relevant discourses, including research fatigue, ethics of co-authorship, mismatching timelines, mismatching expectations between academics and relevant communities and power dynamics in interpersonal relationships. These are topics that have been explored in-depth in fields such as human geography, social sciences and anthropology, yet they are insufficiently considered in the natural sciences as a whole. The purpose of this essay is two-fold. The first is to signpost natural scientists wishing to engage in collaborative research towards key texts and concepts that could aid their work. It is not an extensive review, but rather what is hopefully an accessible introduction. It is, quite simply, an essay that the author would have appreciated having access to before undertaking her work. The second is to contribute to a wider discussion around the need for a more diverse and decolonial training in the natural sciences, so we all can respond to the many changes currently occurring on our planet using knowledge generated from well-informed, meaningful and effective collaborations.
A cost-utility analysis comparing endovascular coiling to neurosurgical clipping in the treatment of aneurysmal subarachnoid haemorrhage
Authors: Ahmed Ayla , Ahmed Yonis , Duah-Asante Kwaku , Lawal Abayomi , Mohiaddin Zain , Nawab Hasan , Tang Alexis , Wang Brian , Miller George , Malawana Johann 
Published: September 2022

AbstractEndovascular coiling (EC) has been identified in systematic reviews and meta-analyses to produce more favourable clinical outcomes in comparison to neurosurgical clipping (NC) when surgically treating a subarachnoid haemorrhage from a ruptured aneurysm. Cost-effectiveness analyses between both interventions have been done, but no cost-utility analysis has yet been published. This systematic review aims to perform an economic analysis of the relative utility outcomes and costs from both treatments in the UK. A cost-utility analysis was performed from the perspective of the National Health Service (NHS), over a 1-year analytic horizon. Outcomes were obtained from the randomised International Subarachnoid Aneurysm Trial (ISAT) and measured in terms of the patient’s modified Rankin scale (mRS) grade, a 6-point disability scale that aims to quantify a patient’s functional outcome following a stroke. The mRS score was weighted against the Euro-QoL 5-dimension (EQ-5D), with each state assigned a weighted utility value which was then converted into quality-adjusted life years (QALYs). A sensitivity analysis using different utility dimensions was performed to identify any variation in incremental cost-effectiveness ratio (ICER) if different input variables were used. Costs were measured in pounds sterling (£) and discounted by 3.5% to 2020/2021 prices. The cost-utility analysis showed an ICER of − £144,004 incurred for every QALY gained when EC was utilised over NC. At NICE’s upper willingness-to-pay (WTP) threshold of £30,000, EC offered a monetary net benefit (MNB) of £7934.63 and health net benefit (HNB) of 0.264 higher than NC. At NICE’s lower WTP threshold of £20,000, EC offered an MNB of £7478.63 and HNB of 0.374 higher than NC. EC was found to be more ‘cost-effective’ than NC, with an ICER in the bottom right quadrant of the cost-effectiveness plane—indicating that it offers greater benefits at lower costs. This is supported by the ICER being below the NICE’s threshold of £20,000–£30,000 per QALY, and both MNB and HNB having positive values (> 0).