bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tracing the occurrence of ocean sciences issues in Greek secondary education textbooks
Authors: MOGIAS ATHANASIOS , BOUBONARI THEODORA , KEVREKIDIS THEODOROS 
Published: October 2021

This study aims to investigate the presence of ocean sciences issues in Greek secondary education (grades 7-12) science textbooks, in respect of the Ocean Literacy Framework. Content analysis was undertaken concerning both textual and pictorial materials of the Biology, Chemistry, Physics, and Geography – Geology courses. Results revealed that the textbooks under study contain limited and fragmented information with regard to the seven essential principles of the framework, while a comparison with the Ocean Literacy Scope & Sequence evidences inconsistencies. The suggestions arising from this study could help curriculum designers, textbook authors, marine educators, and marine scientists to cooperate on a wider scale towards the inclusion of ocean literacy topics into national curricula worldwide.
Prevalence study of intermittent hormonal therapy of Prostate Cancer patients in Spain
Authors: Bonfill-Cosp Xavier , Auladell-Rispau Ariadna , Gich Ignasi , Zamora Javier , Saiz Luis Carlos , Pijoan Jose Ignacio , Urreta Iratxe , Cordero José Antonio 
Published: October 2021

Background: Although intermittent androgen deprivation therapy was introduced many years ago to improve patients’ quality of life with the same carcinologic efficiency as continuous hormonal therapy, recent data suggest that those patients could be overtreated. This study aims to estimate the prevalence of prostate cancer patients receiving intermittent androgen deprivation therapy in Spain. Methods: A retrospective, longitudinal study was conducted using electronic drug dispensation data from four Spanish autonomous communities, which encompass 17.23 million inhabitants (36.22% of the total population in Spain). We estimated intermittent androgen therapy use (%IAD) and the prevalence of patients under intermittent androgen therapy (PIAD) overall and stratified by region. Other outcome variables included the pharmaceutical forms dispensed and the total direct annual expenditure on androgen deprivation therapy‐associated medications. Results: A total of 863,005 dispensations corresponding to a total of 65,752 men were identified, treated with either luteinizing hormone-releasing hormone (LHRH) analogues (353,162) administered alone or in combination with anti‐androgens (509,843). Overall, the mean (±SD) age of the patients was 76.9 (±10.4) years. Results revealed that the mean annual PIAD along the study was 6.6% in the total population studied, and the overall %IAD during the five‐year study period was 5.6%. The mean cost of hormonal therapy per year was 25 million euros for LHRH analogues and 6.3 million euros for anti-androgens. Conclusions: An important proportion of prostate cancer patients in Spain could benefit from intermittent androgen therapy during the study period while avoiding overtreatment harms associated with continuous hormonal therapy.
What are we afraid of when we fear for our health? The symptom context of hypochondriacal complaints
Authors: Klasa Katarzyna , Sobański Jerzy , Konop Magdalena , Dembińska Edyta , Mielimąka Michał , Citkowska-Kisielewska Anna , Jęda Patrycja , Pelc Magdalena , Rutkowski Krzysztof 
Published: October 2021

Cel pracyOkreślenie zbioru objawów, które najczęściej współwystępują ze skargami hipochondrycznymi zgłaszanymi przez pacjentów z zaburzeniami nerwicowymi lub osobowościMetodaPrzeprowadzono analizy korelacji nieparametrycznych rang Spearmana między zmiennymi kwestionariusza objawowego KO”O” opisującymi symptomy hipochondryczne i pozostałymi objawami zawartymi w kwestionariuszu. W celu zwiększenia rzetelności uzyskanych wyników analizy przeprowadzono niezależnie w dwóch grupach: 3929 pacjentów kwalifikowanych do przyjęcia do oddziału dziennego w latach 1980-2002 (grupa A) i 3190 pacjentów kwalifikowanych w latach 2004-2015 (grupa B).WynikiDla wyodrębnionych grup pacjentów uzyskano listy współczynników korelacji obrazujące najważniejsze (najsilniejsze) i istotne statystycznie powiązania między pięcioma objawami hipochondrycznymi oraz objawami somatyzacyjnymi ze strony układu mięśniowego, dusznością, objawami ze strony układu krążenia, objawami lękowymi i myślami natrętnymi bez określonej treściWnioskiPotwierdzono istnienie wieloaspektowości skarg hipochondrycznych oraz ich powiązań z objawami somatyzacyjnymi o charakterze podobnym do infekcji lub stanu zapalenia. Istotnym objawem wiążącym się z lękiem o własne zdrowie na który warto zwrócić uwagę kliniczną jest również lęk o najbliższych
Dynamic Programming for Response-Adaptive Dose-Finding Clinical Trials
Authors: Nasrollahzadeh Amir Ali , Khademi Amin 
Published: October 2021

Identifying the right dose is one of the most important decisions in drug development. Adaptive designs are promoted to conduct dose-finding clinical trials as they are more efficient and ethical compared with static designs. However, current techniques in response-adaptive designs for dose allocation are complex and need significant computational effort, which is a major impediment for implementation in practice. This study proposes a Bayesian nonparametric framework for estimating the dose-response curve, which uses a piecewise linear approximation to the curve by consecutively connecting the expected mean response at each dose. Our extensive numerical results reveal that a first-order Bayesian nonparametric model with a known correlation structure in prior for the expected mean response performs competitively when compared with the standard approach and other more complex models in terms of several relevant metrics and enjoys computational efficiency. Furthermore, structural properties for the optimal learning problem, which seeks to minimize the variance of the target dose, are established under this simple model. Summary of Contribution: In this work, we propose a methodology to derive efficient patient allocation rules in response-adaptive dose-finding clinical trials, where computational issues are the main concern. We show that our methodologies are competitive with the state-of-the-art methodology in terms of solution quality, are significantly more computationally efficient, and are more robust in terms of the shape of the dose-response curve, among other parameter changes. This research fits in “the intersection of computing and operations research” as it adapts operations research techniques to produce computationally attractive solutions to patient allocation problems in dose-finding clinical trials.
Portfolio Optimization Under Regime Switching and Transaction Costs: Combining Neural Networks and Dynamic Programs
Authors: Li Xiaoyue , Mulvey John M. 
Published: October 2021

The contributions of this paper are threefold. First, by combining dynamic programs and neural networks, we provide an efficient numerical method to solve a large multiperiod portfolio allocation problem under regime-switching market and transaction costs. Second, the performance of our combined method is shown to be close to optimal in a stylized case. To our knowledge, this is the first paper to carry out such a comparison. Last, the superiority of the combined method opens up the possibility for more research on financial applications of generic methods, such as neural networks, provided that solutions to simplified subproblems are available via traditional methods. The research on combining fast starts with neural networks began about four years ago. We observed that Professor Weinan E’s approach for solving systems of differential equations by neural networks had much improved performance when starting close to an optimal solution and could stall if the current iterate was far from an optimal solution. As we all know, this behavior is common with Newton- based algorithms. As a consequence, we discovered that combining a system of differential equations with a feedforward neural network could much improve overall computational performance. In this paper, we follow a similar direction for dynamic portfolio optimization within a regime-switching market with transaction costs. It investigates how to improve efficiency by combining dynamic programming with a recurrent neural network. Traditional methods face the curse of dimensionality. In contrast, the running time of our combined approach grows approximately linearly with the number of risky assets. It is inspiring to explore the possibilities of combined methods in financial management, believing a careful linkage of existing dynamic optimization algorithms and machine learning will be an active domain going forward. Relationship of the authors: Professor John M. Mulvey is Xiaoyue Li’s doctoral advisor.
Optimal Portfolio Choice with Estimation Risk: No Risk-Free Asset Case
Authors: Kan Raymond , Wang Xiaolu , Zhou Guofu 
Published: October 2021

We propose an optimal combining strategy to mitigate estimation risk for the popular mean-variance portfolio choice problem in the case without a risk-free asset. We find that our strategy performs well in general, and it can be applied to known estimated rules and the resulting new rules outperform the original ones. We further obtain the exact distribution of the out-of-sample returns and explicit expressions of the expected out-of-sample utilities of the combining strategy, providing not only a fast and accurate way of evaluating the performance, but also analytical insights into the portfolio construction.This paper was accepted by Tyler Shumway, finance.
Social Movements, Collective Identity, and Workplace Allies: The Labeling of Gender Equity Policy Changes
Authors: Wang Cynthia S. , Whitson Jennifer A. , King Brayden G , Ramirez Rachel L. 
Published: October 2021

Social movements seek allies as they campaign for social, political, and organizational changes. How do activists gain allies in the targeted institutions they hope to change? Despite recognition of the importance of ally support in theories about institutional change and social movements, these theories are largely silent on the microdynamics of ally mobilization. We examine how the labeling of organizational policies that benefit women influences potential workplace allies’ support for these policies. We theorize that one barrier to mobilizing workplace allies is a misalignment of the labels that activists use to promote new policies and employees’ affiliation with collective identities. We conducted five experiments to test our hypotheses and 26 qualitative interviews to provide illustration of our core concepts. We demonstrate that employees high in feminist identification are more likely to support feminist-labeled (feminist and #MeToo) than unlabeled policies, whereas those low in feminist identification are less likely to support feminist-labeled than unlabeled policies (Studies 1–3). However, we find that participants for whom organizational identification was high (whether measured or manipulated) and feminist identification was low supported organizationally labeled policies more than feminist-labeled polices (Studies 4 and 5). This illustrates that policies whose aims may not align with one collective identity can still garner support by activating another relevant collective identity. Within our studies, we provide evidence that these effects are mediated via feelings of pride in the organization (and not fear or anger), suggesting that positive emotions are a central mechanism in mobilizing workplace allies. History: This paper has been accepted for the Organization Science Special Issue on Experiments in Organizational Theory. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2021.1492 .
Global palliative nursing partnerships in the face of COVID-19
Authors: Rosa William E , Downing Julia , Ferrell Betty R , Grant Liz , Matula Samuel T , Pandey Shila , Sey-Sawo Jainaba , Sowe Mansur , Upvall Michele 
Published: October 2021

Background: Mutually respectful and long-term global partnerships are critical to increasing hospice and palliative care access as a key component of universal health coverage. The importance of sustained, transnational palliative care collaboration has become more urgent since the COVID-19 pandemic. Aim: To provide an overview of characteristics for successful global palliative nursing partnerships. Method: The authors highlight the need to adapt approaches to meet the challenges and demands of COVID-19 in both clinical and academic spaces. Exemplars of thriving global partnerships are provided, alongside palliative nursing considerations and strategies to advance and sustain them. Conclusion: The role of nursing to drive and enhance palliative care partnerships, especially with equitable input from low- and middle-income country stakeholders, must be leveraged to advance shared goals and reduce serious health-related suffering around the world.
Iranian nurses' educational needs and competence in palliative cancer care
Authors: Nouhi Esmat , Faramarzpour Vahid , shahrbabaki Parvin Mangolian 
Published: October 2021

Aim:This study was conducted to determine the competence and educational needs of Iranian nurses in the field of palliative cancer care.Method:This cross-sectional study was performed on nurses working in oncology departments of hospitals in Kerman, in southeast Iran. The data were collected using nurses' core competence in palliative care inventory and a questionnaire for assessing the educational needs of nurses in the field of palliative cancer care. Pearson correlation coefficient, Independent t-test, ANOVA and Linear regression were used to examine the data.Results:210 nurses participated in this study and the response rate was 98.13%. The results showed that the mean score of educational needs in palliative cancer care was 3.6±0.7. The highest average score was observed in the mental and psychological (3.83±0.89) dimensions, and the lowest in the social dimension (3.34±0.84). The mean score of nurses' competence in palliative cancer care was 1.78±0.51. The highest mean score was related to interpersonal skills (2.28±0.74), and the lowest mean score belonged to the use of Edmonton symptoms evaluation (1.10±1.27). There was a low significant and inverse correlation between nurses' competence and their educational needs. (P<0.001, r=- 0.242).Conclusion:This study showed that Iranian nurses have the need for palliative cancer care training. Therefore, it is necessary to assign a higher priority to the evaluation of the clinical competence and educational needs of nurses in different healthcare centres.
Art with Revolution! Political mobilization in artistic practices between 1974 and 1977 in Portugal
Authors: Pratas Cruzeiro Cristina 
Published: October 2021

This article analyzes the relationship between Portuguese artists and bodies of power and the popular masses after the Revolution of 25 April 1974 and until 1977.
The analysis of this period in Portugal will consider the dynamics surrounding socially engaged artistic practices integrated in the public space, within its historic and social framework.
The article argues that the Portuguese artistic context under consideration arose from the politicians and artists motivation to bring art and the popular masses closer to the ongoing revolutionary process. In this approach, I identify collaboration as the most frequent attitude used by artists in relation to the political system and population. This approach decreased since 1976, at which time there was an increase in conflict with the political power structures. Regarding the relationship with the population, from that moment on there was also a decrease in the use of collaborative tools and an intensification of transgressive and provocative tools in artisticpractices.
These changes will be articulated in the article based on the country’s objective political and social conditions, and their influence on attitudinal nuances identified in the socially engaged artistic practices under analysis.
Transmission of a 56  Gbit/s PAM4 signal with low-resolution DAC and pre-equalization only over 80  km fiber in C-band IM/DD systems for optical interconnects
Authors: Yin Mingzhu , Zou Dongdong , Wang Wei , Li Fan , Li Zhaohui 
Published: October 2021

A low-cost intensity modulation and direct detection scheme using a 4-bit digital-to-analog converter for 56 Gbit/s pre-equalized PAM-4 generation at the transmitter and without receiver side post-equalization over 80 km single-mode fiber transmission in a C-band is experimentally demonstrated in this Letter. Pre-equalization includes pre-emphasis for channel response, a modified Gerchberg–Saxton algorithm with five iterations for chromatic dispersion compensation, and a noise shaping technique implemented by a five-tap finite impulse response filter for quantization noise suppression. Enabled by the pre-equalization techniques, the bit error rate of the received signal without post-equalization can reach the hard-decision forward error correction threshold with

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receiver optical power. The experimental results indicate that our proposed scheme is a promising candidate for the standardization of 400 GbE wavelength division multiplexing-based long-haul distance data center interconnects.
Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines
Authors: Pollett Simon , Johansson Michael A. , Reich Nicholas G. , Brett-Major David , Del Valle Sara Y. , Venkatramanan Srinivasan , Lowe Rachel , Porco Travis , Berry Irina Maljkovic , Deshpande Alina , Kraemer Moritz U. G. , Blazes David L. , Pan-ngum Wirichada , Vespigiani Alessandro , Mate Suzanne E. , Silal Sheetal P. , Kandula Sasikiran , Sippy Rachel , Quandelacy Talia M. , Morgan Jeffrey J. , Ball Jacob , Morton Lindsay C. , Althouse Benjamin M. , Pavlin Julie , van Panhuis Wilbert , Riley Steven , Biggerstaff Matthew , Viboud Cecile , Brady Oliver , Rivers Caitlin 
Published: October 2021

BackgroundThe importance of infectious disease epidemic forecasting and prediction research is underscored by decades of communicable disease outbreaks, including COVID-19. Unlike other fields of medical research, such as clinical trials and systematic reviews, no reporting guidelines exist for reporting epidemic forecasting and prediction research despite their utility. We therefore developed the EPIFORGE checklist, a guideline for standardized reporting of epidemic forecasting research.Methods and findingsWe developed this checklist using a best-practice process for development of reporting guidelines, involving a Delphi process and broad consultation with an international panel of infectious disease modelers and model end users. The objectives of these guidelines are to improve the consistency, reproducibility, comparability, and quality of epidemic forecasting reporting. The guidelines are not designed to advise scientists on how to perform epidemic forecasting and prediction research, but rather to serve as a standard for reporting critical methodological details of such studies.ConclusionsThese guidelines have been submitted to the EQUATOR network, in addition to hosting by other dedicated webpages to facilitate feedback and journal endorsement.
Land use and land cover change and its impacts on dengue dynamics in China: A systematic review
Authors: Gao Panjun , Pilot Eva , Rehbock Cassandra , Gontariuk Marie , Doreleijers Simone , Wang Li , Krafft Thomas , Martens Pim , Liu Qiyong 
Published: October 2021

BackgroundDengue is a prioritized public health concern in China. Because of the larger scale, more frequent and wider spatial distribution, the challenge for dengue prevention and control has increased in recent years. While land use and land cover (LULC) change was suggested to be associated with dengue, relevant research has been quite limited. The “Open Door” policy introduced in 1978 led to significant LULC change in China. This systematic review is the first to review the studies on the impacts of LULC change on dengue dynamics in China. This review aims at identifying the research evidence, research gaps and provide insights for future research.MethodsA systematic literature review was conducted following the PRISMA protocol. The combinations of search terms on LULC, dengue and its vectors were searched in the databases PubMed, Web of Science, and Baidu Scholar. Research conducted on China published from 1978 to December 2019 and written in English or Chinese was selected for further screening. References listed in articles meeting the inclusion criteria were also reviewed and included if again inclusion criteria were met to minimize the probability of missing relevant research.Results28 studies published between 1978 and 2017 were included for the full review. Guangdong Province and southern Taiwan were the major regional foci in the literature. The majority of the reviewed studies observed associations between LULC change factors and dengue incidence and distribution. Conflictive evidence was shown in the studies about the impacts of green space and blue space on dengue in China. Transportation infrastructure and urbanization were repeatedly suggested to be positively associated with dengue incidence and spread. The majority of the studies reviewed considered meteorological and sociodemographic factors when they analyzed the effects of LULC change on dengue. Primary and secondary remote sensing (RS) data were the primary source for LULC variables. In 21 of 28 studies, a geographic information system (GIS) was used to process data of environmental variables and dengue cases and to perform spatial analysis of dengue.ConclusionsThe effects of LULC change on the dynamics of dengue in China varied in different periods and regions. The application of RS and GIS enriches the means and dimensions to explore the relations between LULC change and dengue. Further comprehensive regional research is necessary to assess the influence of LULC change on local dengue transmission to provide practical advice for dengue prevention and control.