bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using latent profile analysis to understand palliative care professionals’ quality of life during the COVID-19 pandemic
Authors: Lluch-Sanz Cristina , Galiana Laura , Tomás José M. , Oliver Amparo , Vidal-Blanco Gabriel , Sansó Noemí 
Published: November 2022

Abstract
Healthcare workers’ professional quality of life has been increasingly under the spotlight, even more so during the COVID-19 pandemic, which has posed a genuine challenge for them. This study aims to describe the professional quality of life profiles of a sample of Spanish palliative care professionals during the COVID-19 pandemic, encompassing aspects such as work satisfaction, burnout, compassion fatigue, and compassion satisfaction; while studying the relationships between these profiles and sociodemographic variables, clinical situations experienced during the pandemic, protectors of professional quality of life, the quality of care delivered, and the professionals’ wellbeing. Data from a survey of Spanish palliative care professionals were used. The variables measured were professional quality of life, sociodemographic characteristics, COVID-19-related experiences, protectors of professional quality of life, wellbeing, and quality of care. Our research included latent profile analyses, along with chi-squared and t-tests. The results suggested two profiles of professional quality of life, namely low (32.78%) and high (67.22%). The following profile displayed a higher likelihood of having a low professional quality of life: younger professionals, registered nurses, with a decrease in their teamwork, without specific training in palliative care, in coping with death and stress or emotional training and with lower levels of self-care and self-compassion, whose patients were unable to die a dignified death. Similarly, a low professional quality of life profile was associated with reduced wellbeing and poorer quality of care offered. In conclusion, providing professionals with education and training to improve their ability to handle end-of-life care and stress, maintaining cohesive teams and promoting self-care and self-compassion are pivotal to maintaining the quality of life and wellbeing of palliative care professionals and the quality of care that they provide.
Application of the Bookmark method: setting standard for the ninth-grade mathematics achievement test in China
Authors: Li Guangming , Wu Yuelin 
Published: November 2022

AbstractThe purpose of this paper is to apply the Bookmark method to the standard setting. Based on the Rasch Model in item response theory, a ninth-grade mathematics achievement test in china has been taken as an example of the standard setting, and 2 cut scores have been established to distinguish students into different performance levels eventually, namely basic and proficient cut scores. In addition, based on the use of generalizability theory, the standard error of the cut scores and the practical standard error are used as indicators to explore the effect that panelists and the standard setting rounds have made on the precision of Bookmark standard setting results through a mixed design of (p: g) × r. Result shows that the cut scores of basic and proficient were respectively 52.25 and 67.53. Besides, increasing the number of panelists in the group or standard setting rounds will reduce the standard error of the cut scores and the practical standard error. In addition, practical standard error is a necessary reference index when applying generalizability theory to analyze the cut scores established by Bookmark method, while the standard error of cut scores also has a great reference value.
Beyond All Splits: Envisioning the Next Generation of Science on Mindfulness and Compassion in Schools for Students
Authors: Roeser Robert W. , Greenberg Mark T. , Frazier Tyralynn , Galla Brian M. , Semenov Andrei D. , Warren Michael T. 
Published: November 2022

Abstract

Objectives
This paper describes the emergence of the scientific study of mindfulness in schools; summarizes findings of experimental research on the impacts of school-based mindfulness programs (SBMPs) on student outcomes in prekindergarten, primary, and secondary school settings (ages 4–18 years); discusses scientific limitations and wider critiques of this work; and offers suggestions for future research.

Methods
Public data are used to describe the emergence of science on SBMPs, the foci of this research, and the academic disciplines contributing to it. A narrative summary of scientific findings regarding the impacts of SBMPs on students, and critiques of this work, is also presented.

Results
Research is increasing and is primarily psychological and prevention-oriented. Evidence shows SBMPs can enhance students’ self-regulation abilities, but SBMPs’ impacts on other student outcomes at different ages are equivocal. The current research has significant limitations, and these, alongside wider critiques of the work, suggest important directions for research.

Conclusions
In the next generation of science, we suggest (a) improving the experimental research; (b) expanding developmental research; and (c) re-envisioning assumptions, theories, and methods in research to go “beyond all splits” towards a non-dualistic and relationally, culturally, contextually, ethically, and developmentally grounded science on mindfulness and compassion for students in schools.
Intracranial Pressure Dysfunction Following Severe Intracerebral Hemorrhage in Middle-Aged Rats
Authors: Kalisvaart Anna C. J. , Abrahart Ashley H. , Coney Alyvia T. , Gu Sherry , Colbourne Frederick 
Published: November 2022

Abstract
Rising intracranial pressure (ICP) aggravates secondary injury and heightens risk of death following intracerebral hemorrhage (ICH). Long-recognized compensatory mechanisms that lower ICP include reduced cerebrospinal fluid and venous blood volumes. Recently, we identified another compensatory mechanism in severe stroke, a decrease in cerebral parenchymal volume via widespread reductions in cell volume and extracellular space (tissue compliance). Here, we examined how age affects tissue compliance and ICP dynamics after severe ICH in rats (collagenase model). A planned comparison to historical young animal data revealed that aged SHAMs (no stroke) had significant cerebral atrophy (9% reduction, p ≤ 0.05), ventricular enlargement (9% increase, p ≤ 0.05), and smaller CA1 neuron volumes (21%, p ≤ 0.05). After ICH in aged animals, contralateral striatal neuron density and CA1 astrocyte density significantly increased (12% for neurons, 7% for astrocytes, p ≤ 0.05 vs. aged SHAMs). Unlike young animals, other regions in aged animals did not display significantly reduced cell soma volume despite a few trends. Nonetheless, overall contralateral hemisphere volume was 10% smaller in aged ICH animals compared to aged SHAMs (p ≤ 0.05). This age-dependent pattern of tissue compliance is not due to absent ICH-associated mass effect (83.2 mm3 avg. bleed volume) as aged ICH animals had significantly elevated mean and peak ICP (p ≤ 0.01), occurrence of ICP spiking events, as well as bilateral evidence of edema (e.g., 3% in injured brain, p ≤ 0.05 vs. aged SHAMs). Therefore, intracranial compliance reserve changes with age; after ICH, these and other age-related changes may cause greater fluctuation from baseline, increasing the chance of adverse outcomes like mortality.
Exploring the negotiation processes when developing a mathematical model to solve a Fermi problem in groups
Authors: Brunet-Biarnes Mireia , Albarracín Lluís 
Published: November 2022

AbstractPrevious research has highlighted the importance of social relationships in mathematical group work while working on modelling activities. This study analyses the interaction of sixth-grade students in Primary Education (11 to 12 years old) carrying out a modelling task in groups with a Fermi problem used as the modelling activity. The focus of the study was to explore how students develop a mathematical model to solve a Fermi problem in groups. The data collected mainly came from the group discussions, although the students’ productions were also considered. The results show that a variety of factors can influence group work and that model development is based on one student introducing an initial model and then, through social interaction with the other group members, the model is improved to develop a solid strategy that may be useful for solving the problem at hand.
Total and non-total suborbits for hypercyclic operators
Authors: Bernal-González Luis , Bonilla Antonio 
Published: November 2022

AbstractIn this note, it is proved that if X is a separable infinite dimensional Fréchet space that admits a continuous norm then, given a closed infinite dimensional subspace of X, there exists a hypercyclic operator admitting a dense orbit which in turn admits a suborbit all of whose sub-suborbits are total in the prescribed subspace. This is related to a recently published result asserting that every supercyclic vector for an operator on a Hilbert space supports a non-total suborbit. Here we also extend this result to normed spaces.
Mitotane in adrenocortical carcinoma: a profile of its use
Authors: Shirley Matt 
Published: November 2022

AbstractThe adrenal cytotoxic agent mitotane (Lysodren®) has a central role in the systemic treatment of adrenocortical carcinoma (ACC), a rare and aggressive cancer of the adrenal glands. Although its precise mechanism of action remains unclear, mitotane has been evaluated and used for more than 60 years and, to date, is the only drug specifically approved for the treatment of ACC. Although ACC continues to be associated with a poor prognosis, mitotane has been shown to provide clinically significant benefit in a good proportion of ACC patients treated with the drug, both in the advanced (unresectable/metastatic) disease and adjuvant therapy settings. While mitotane has generally manageable tolerability with most adverse events (including neurotoxicity) being reversible with dose reduction or treatment interruption, regular monitoring of drug plasma concentrations during treatment is important to help ensure optimal use of mitotane while minimising the impact of drug toxicity.
Assessment of subjective and objective masticatory function among elderly individuals with mild cognitive impairment
Authors: Lee Nan-Ju , Kim Hyo-Jung , Choi Yiseul , Kim Taek-Bin , Jung Bock-Young 
Published: November 2022

AbstractBackgroundMasticatory function is known to be related to cognitive ability; therefore, factors for improving masticatory function should be identified.AimsThis study aimed to identify factors influencing masticatory function associated with mild cognitive impairment (MCI) in elderly individuals.MethodsA total of 123 elderly participants [mean age: 76.5 ± 6.5 years; 82 females (66.7%), 41 males (33.3%)] were included. Cognitive function was evaluated by the Korean version of the Mini-Mental State Examination (KMMSE). Questionnaires for subjective evaluation were administered, and dynamic objective masticatory function evaluations, including chewing tests and bite force measurements, were performed. Intergroup differences were evaluated by the Wilcoxon rank-sum and chi-square test, and correlations between cognitive ability and masticatory function were evaluated by multilinear logistic regression.ResultsThe number of teeth, number of posterior teeth, bite force, masticatory ability index (MAI) and posterior support status showed significant differences between the normal (KMMSE > 23) and MCI (KMMSE ≤ 23) groups. However, only the MAI, representing dynamic masticatory performance, was significantly associated with MCI regardless of age, sex and removable prostheses. The number of teeth and posterior teeth, bite force, subjective masticatory ability and posterior occlusal support showed no significant association with MCI.DiscussionThese results suggested the importance of chewing function for preventing the progression of cognitive impairment.ConclusionsConsidering that only the MAI was significantly associated with MCI, it is more important to improve chewing efficiency by harmonizing therapeutic prosthetics with the surrounding masticatory system than simply increasing the number of teeth to prevent or delay cognitive impairment in elderly individuals.
An imitation learning approach for the control of a low-cost low-accuracy robotic arm for unstructured environments
Authors: Bonsignorio Fabio , Cervellera Cristiano , Macciò Danilo , Zereik Enrica 
Published: November 2022

AbstractWe have developed an imitation learning approach for the image-based control of a low-cost low-accuracy robot arm. The image-based control of manipulation arms is still an unsolved problem, at least under challenging conditions such as those here addressed. Many attempts for solutions in the literature are based on machine learning, generally relying on deep neural network architectures. In typical imitation approaches, the deep network learns from a human expert. In our case the network is trained on state/action pairs obtained through a Belief Space Planning algorithm, a stochastic method that requires only a rough tuning, particularly suited to unstructured and dynamic environments. Our approach allows to obtain a lightweight manipulation system that demonstrated its efficiency, robustness and good performance in real-world tests, and that is reproducible in experiments and results, despite its inaccuracy and non-repeatable kinematics. The proposed system performs well on a simple reaching task, requiring limited training on our quite challenging platform. The main contribution of the proposed work lies in the definition and real-world testing of an efficient controller, based on the integration of Belief Space Planning with the imitation learning paradigm, that enables even inaccurate, very low-cost robotic manipulators to be actually controlled and employed in the field.
Die ambivalente Rolle der Spiritualität für die Erklärung von Verschwörungsglauben und Demonstrationsbereitschaft im Kontext der COVID-19-Pandemie
Authors: Endtricht Rebecca 
Published: November 2022

ZusammenfassungIm Kontext der COVID-19-Pandemie gewinnen zunehmend Gruppen an Sichtbarkeit, die sich als Anker in der Problembewältigung präsentieren und vermeintliche Lösungsansätze zum Umgang mit der Pandemie zur Verfügung stellen. In Teilen solcher Strömungen zeigt sich ein Hang zum Verschwörungsglauben sowie zu abergläubischen und esoterischen Deutungsmustern, die in den Protesten gegen Maßnahmen zur Eindämmung der Pandemie vermehrt zum Ausdruck kommen. Die Vermengung dieser Phänomene in einer gemeinsamen Protestbewegung wirft die Fragen auf, wie diese zusammenhängen und welche Rolle dabei religiöse Zugehörigkeiten und spirituelle Weltanschauungen einnehmen. In der vorliegenden Studie werden spirituelle Welt- und Wertebilder differenziert und religionsunabhängig erfasst, um diesen Fragen nachzugehen. Es lassen sich empirisch zwei Formen der Spiritualität, die aktive und passive Spiritualität voneinander trennen, die sich in den Dimensionen Weltbild und Ethik, Wertekanon und Sinnempfinden teils diametral gegenüberstehen. Es zeigen sich unterschiedliche Effekte dieser beiden Spiritualitätsformen auf die Offenheit gegenüber alternativen und esoterischen Welterklärungen sowie auf die Ausprägung von Skepsis gegenüber der Wissenschaft. Die spirituellen Elemente tragen auch zur Klärung des Glaubens an Verschwörungserzählungen, der Unterstützung von Corona-Demonstrationen und einer diesbezüglichen Teilnahmebereitschaft bei. Dabei wirkt die aktive Spiritualität als Schutzfaktor und die passive Spiritualität demgegenüber als verstärkender (Risiko‑)Faktor für die Auftretenswahrscheinlichkeit von sowohl Verschwörungsglauben als auch Protestbereitschaft. Insgesamt zeigt sich, dass eine mehrdimensionale Erfassung von Spiritualität zur Erklärung von verschwörungstheoretischen und protestrelevanten Einstellungen beiträgt. Auf diese Weise können zudem bisherige ambivalente Befunde der Forschung zu den Effekten von Spiritualität als Resilienz- bzw. Risikofaktor für solche Einstellungen und Verhaltensbereitschaften ausdifferenziert werden.
Transverse mode instability mitigation in a high-power confined-doped fiber amplifier with good beam quality through seed laser control
Authors: Wu Hanshuo , Li Haobo , An Yi , Li Ruixian , Chen Xiao , Xiao Hu , Huang Liangjin , Yang Huan , Yan Zhiping , Leng Jinyong , Pan Zhiyong , Zhou Pu 
Published: November 2022

AbstractIn this work, a confined-doped fiber with the core/inner-cladding diameter of 40/250 μm and a relative doping ratio of 0.75 is fabricated through a modified chemical vapor deposition method combined with the chelate gas deposition technique, and subsequently applied in a tandem-pumped fiber amplifier for high-power operation and transverse mode instability (TMI) mitigation. Notably, the impacts of the seed laser power and mode purity are preliminarily investigated through comparative experiments. It is found that the TMI threshold could be significantly affected by the seed laser mode purity. The possible mechanism behind this phenomenon is proposed and revealed through comprehensive comparative experiments and theoretical analysis. Finally, a maximum output power of 7.49 kW is obtained with the beam quality factor of approximately 1.83, which is the highest output power ever reported in a forward tandem-pumped confined-doped fiber amplifier. This work could provide a good reference and practical solution to improve the TMI threshold and realize high-power high-brightness fiber lasers.
Electron pulse train accelerated by a linearly polarized Laguerre–Gaussian laser beam
Authors: Shi Yin , Blackman David R. , Zhu Ping , Arefiev Alexey 
Published: November 2022

Abstract
A linearly polarized Laguerre–Gaussian (LP-LG) laser beam with a twist index

$l = -1$

has field structure that fundamentally differs from the field structure of a conventional linearly polarized Gaussian beam. Close to the axis of the LP-LG beam, the longitudinal electric and magnetic fields dominate over the transverse components. This structure offers an attractive opportunity to accelerate electrons in vacuum. It is shown, using three-dimensional particle-in-cell simulations, that this scenario can be realized by reflecting an LP-LG laser off a plasma with a sharp density gradient. The simulations indicate that a 600 TW LP-LG laser beam effectively injects electrons into the beam during the reflection. The electrons that are injected close to the laser axis experience a prolonged longitudinal acceleration by the longitudinal laser electric field. The electrons form distinct monoenergetic bunches with a small divergence angle. The energy in the most energetic bunch is 0.29 GeV. The bunch charge is 6 pC and its duration is approximately

$270$

as. The divergence angle is just

${0.57}^{\circ }$

(10 mrad). By using a linearly polarized rather than a circularly polarized Laguerre–Gaussian beam, our scheme makes it easier to demonstrate the electron acceleration experimentally at a high-power laser facility.
‘Well, actually’: investigating mansplaining in the modern workplace
Authors: Smith Chelsie J. , Schweitzer Linda , Lauch Katarina , Bird Ashlyn 
Published: November 2022

AbstractThis mixed-method investigation examines the nature, prevalence, and correlates of mansplaining in modern workplaces. In Study 1, we scrape Twitter and conduct a thematic analysis of 2,312 tweets. These findings ground a comprehensive definition of mansplaining and propose six items for measurement. In Study 2, we quantitatively investigate mansplaining experiences at work (n = 499), finding that almost every participant had experienced mansplaining in the previous year. Expected gender differences emerged among mansplaining perpetrators and targets, yet men were not the only perpetrators, nor were women the only targets. Confirmatory factor analysis results support the possibility that mansplaining is a second factor of incivility. Further, mansplaining predicted significant variance in outcomes such as job satisfaction and turnover intentions above and beyond incivility. This research underscores that mansplaining is more than a social media phenomenon. Rather, it is a form of gendered mistreatment with implications for scholars and practitioners alike.
Ruin probabilities in a Markovian shot-noise environment
Authors: Pojer Simon , Thonhauser Stefan 
Published: November 2022

AbstractWe consider a risk model with a counting process whose intensity is a Markovian shot-noise process, to resolve one of the disadvantages of the Cramér–Lundberg model, namely the constant intensity of the Poisson process. Due to this structure, we can apply the theory of piecewise deterministic Markov processes on a multivariate process containing the intensity and the reserve process, which allows us to identify a family of martingales. Eventually, we use change of measure techniques to derive an upper bound for the ruin probability in this model. Exploiting a recurrent structure of the shot-noise process, even the asymptotic behaviour of the ruin probability can be determined.
Artificial intelligence for early detection of renal cancer in computed tomography: A review
Authors: McGough William C. , Sanchez Lorena E. , McCague Cathal , Stewart Grant D. , Schönlieb Carola-Bibiane , Sala Evis , Crispin-Ortuzar Mireia 
Published: November 2022

Abstract
Renal cancer is responsible for over 100,000 yearly deaths and is principally discovered in computed tomography (CT) scans of the abdomen. CT screening would likely increase the rate of early renal cancer detection, and improve general survival rates, but it is expected to have a prohibitively high financial cost. Given recent advances in artificial intelligence (AI), it may be possible to reduce the cost of CT analysis and enable CT screening by automating the radiological tasks that constitute the early renal cancer detection pipeline. This review seeks to facilitate further interdisciplinary research in early renal cancer detection by summarising our current knowledge across AI, radiology, and oncology and suggesting useful directions for future novel work. Initially, this review discusses existing approaches in automated renal cancer diagnosis, and methods across broader AI research, to summarise the existing state of AI cancer analysis. Then, this review matches these methods to the unique constraints of early renal cancer detection and proposes promising directions for future research that may enable AI-based early renal cancer detection via CT screening. The primary targets of this review are clinicians with an interest in AI and data scientists with an interest in the early detection of cancer.
The impact of neurotypical cognition on communication deficits attributed to pathologized people: schizophrenia as a case study
Authors: Hodgins Vegas , O’Driscoll Gillian , Titone Debra 
Published: November 2022

AbstractSocial communication deficits have been robustly documented in schizophrenia spectrum disorders. Historically, attempts to lessen this dysfunction have focused almost exclusively on modifying the person with schizophrenia’s own behaviors and cognition. However, social communication is inherently dyadic, and this approach leaves unaddressed the role of the neurotypical interlocutor in communication breakdown. In this position piece, we review psycholinguistic theories and research in order to propose a more comprehensive and equitable understanding of the social dysfunction that people with schizophrenia experience. We do so by drawing attention to the manner in which neurotypical individuals may drive communication failure in schizophrenia. Stigma is proposed to be a major component of this phenomenon. In addition to an overview of our theoretical framework, we provide a research agenda to test the hypotheses this framework has produced. We hope this piece can inform future research directions within psycholinguistics.