bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hypotension Prediction Index guided Goal Directed therapy and the amount of Hypotension during Major Gynaecologic Oncologic Surgery: a Randomized Controlled clinical Trial
Authors: Frassanito Luciano , Giuri Pietro Paolo , Vassalli Francesco , Piersanti Alessandra , Garcia Manuel Ignacio Monge , Sonnino Chiara , Zanfini Bruno Antonio , Catarci Stefano , Antonelli Massimo , Draisci Gaetano 
Published: April 2023

AbstractIntraoperative hypotension (IOH) is associated with increased morbidity and mortality. Hypotension Prediction Index (HPI) is a machine learning derived algorithm that predicts IOH shortly before it occurs. We tested the hypothesis that the application of the HPI in combination with a pre-defined Goal Directed Therapy (GDT) hemodynamic protocol reduces IOH during major gynaecologic oncologic surgery. We enrolled women scheduled for major gynaecologic oncologic surgery under general anesthesia with invasive arterial pressure monitoring. Patients were randomized to a GDT protocol aimed at optimizing stroke volume index (SVI) or hemodynamic management based on HPI guidance in addition to GDT. The primary outcome was the amount of IOH, defined as the timeweighted average (TWA) mean arterial pressure (MAP) < 65 mmHg. Secondary outcome was the TWA-MAP < 65 mmHg during the first 20 min after induction of GA. After exclusion of 10 patients the final analysis included 60 patients (30 in each group). The median (25–75th IQR) TWA-MAP < 65 mmHg was 0.14 (0.04–0.66) mmHg in HPI group versus 0.77 (0.36–1.30) mmHg in Control group, P < 0.001. During the first 20 min after induction of GA, the median TWA-MAP < 65 mmHg was 0.53 (0.06–1.8) mmHg in the HPI group and 2.15 (0.65–4.2) mmHg in the Control group, P = 0.001. Compared to a GDT protocol aimed to SVI optimization, a machine learning-derived algorithm for prediction of IOH combined with a GDT hemodynamic protocol, reduced IOH and hypotension after induction of general anesthesia in patients undergoing major gynaecologic oncologic surgery.Trial registration number: NCT04547491. Date of registration: 10/09/2020.
Culture Models to Investigate Mechanisms of Milk Production and Blood-Milk Barrier in Mammary Epithelial Cells: a Review and a Protocol
Authors: Kobayashi Ken 
Published: May 2023

AbstractMammary epithelial cells (MECs) are the only cell type that produces milk during lactation. MECs also form less-permeable tight junctions (TJs) to prevent the leakage of milk and blood components through the paracellular pathway (blood-milk barrier). Multiple factors that include hormones, cytokines, nutrition, and temperature regulate milk production and TJ formation in MECs. Multiple intracellular signaling pathways that positively and negatively regulate milk production and TJ formation have been reported. However, their regulatory mechanisms have not been fully elucidated. In addition, unidentified components that regulate milk production in MECs likely exist in foods, for example plants. Culture models of functional MECs that recapitulate milk production and TJs are useful tools for their study. Such models enable the elimination of indirect effects via cells other than MECs and allows for more detailed experimental conditions. However, culture models of MECs with inappropriate functionality may result in unphysiological reactions that never occur in lactating mammary glands in vivo. Here, I briefly review the physiological functions of alveolar MECs during lactation in vivo and culture models of MECs that feature milk production and less-permeable TJs, together with a protocol for establishment of MEC culture with functional TJ barrier and milk production capability using cell culture inserts.
FINANCIAL INFORMATION USE IN PARLIAMENTARY DEBATES IN A CHANGING CONTEXT
Authors: Jorge Susana , Nogueira Sónia , Jesus Maria Antónia 
Published: April 2023

AbstractApplying quantitative and qualitative content and sentiment analysis, this study investigates the use of financial information by politicians in the Portuguese parliament, in a changing context.There is clear preference for Budgetary Information. A change in the political majority in Parliament and an improvement in the country’s economic and financial situation affect the intensity and intentions of using financial information by politicians – the use with positive sentiments of those government-related, to legitimize their policies, and with negative sentiments when they pass to the opposition, using it as ammunition or to divert attention from measures implemented when they were in power.
Diagnostic accuracy of MRI for evaluating myometrial invasion in endometrial cancer: a comparison of MUSE-DWI, rFOV-DWI, and DCE-MRI
Authors: Ota Takashi , Tsuboyama Takahiro , Onishi Hiromitsu , Nakamoto Atsushi , Fukui Hideyuki , Yano Keigo , Honda Toru , Kiso Kengo , Tatsumi Mitsuaki , Tomiyama Noriyuki 
Published: April 2023

Abstract
Objectives
To compare the image quality of high-resolution diffusion-weighted imaging (DWI) using multiplexed sensitivity encoding (MUSE) versus reduced field-of-view (rFOV) techniques in endometrial cancer (EC) and to compare the diagnostic performance of these techniques with that of dynamic contrast-enhanced (DCE) MRI for assessing myometrial invasion of EC.

Methods
MUSE-DWI and rFOV-DWI were obtained preoperatively in 58 women with EC. Three radiologists assessed the image quality of MUSE-DWI and rFOV-DWI. For 55 women who underwent DCE-MRI, the same radiologists assessed the superficial and deep myometrial invasion using MUSE-DWI, rFOV-DWI, and DCE-MRI. Qualitative scores were compared using the Wilcoxon signed-rank test. Receiver operating characteristic analysis was performed to compare the diagnostic performance.

Results
Artifacts, sharpness, lesion conspicuity, and overall quality were significantly better with MUSE-DWI than with rFOV-DWI (p < 0.05). The area under the curve (AUC) of MUSE-DWI, rFOV-DWI, and DCE-MRI for the assessment of myometrial invasion were not significantly different except for significantly higher AUC of MUSE-DWI than that of DCE-MRI for superficial myometrial invasion (0.76 for MUSE-DWI and 0.64 for DCE-MRI, p = 0.049) and for deep myometrial invasion (0.92 for MUSE-DWI and 0.80 for DCE-MRI, p = 0.022) in one observer, and that of rFOV-DWI for deep myometrial invasion in another observer (0.96 for MUSE-DWI and 0.89 for rFOV-MRI, p = 0.048).

Conclusion
MUSE-DWI exhibits better image quality than rFOV-DWI. MUSE-DWI and rFOV-DWI shows almost equivalent diagnostic performance compared to DCE-MRI for assessing superficial and deep myometrial invasion in EC although MUSE-DWI may be helpful for some radiologists.
Formation of the Heart: Defining Cardiomyocyte Progenitors at Single-Cell Resolution
Authors: Tyser Richard C. V. 
Published: April 2023

Abstract
Purpose of Review
Formation of the heart requires the coordinated addition of multiple progenitor sources which have undergone different pathways of specification and differentiation. In this review, I aim to put into context how recent studies defining cardiac progenitor heterogeneity build on our understanding of early heart development and also discuss the questions raised by this new insight.

Recent Findings
With the development of sequencing technologies and imaging approaches, it has been possible to define, at high temporal resolution, the molecular profile and anatomical location of cardiac progenitors at the single-cell level, during the formation of the mammalian heart.

Summary
Given the recent progress in our understanding of early heart development and technical advances in high-resolution time-lapse imaging and lineage analysis, we are now in a position of great potential, allowing us to resolve heart formation at previously impossible levels of detail. Understanding how this essential organ forms not only addresses questions of fundamental biological significance but also provides a blueprint for strategies to both treat and model heart disease.
Identity and Belonging: Emotional Assimilation in Two Immigrant Communities in Germany
Authors: Hansen Michael A. , Olsen Jonathan 
Published: April 2023

AbstractIn this article, we analyze emotional assimilation (host country identification) within Germany’s two largest immigrant communities—ethnic Germans from the former Soviet Union and those German citizens with an ethnic Turkish migration background. Specifically, we investigate the strength of emotional assimilation among these two communities and the differences that might exist between them. To what degree have these two large immigrant communities cultivated a sense of host country identification or German national identity? What factors shape emotional assimilation in these two communities? We find that ethnic German citizens with a background from the former Soviet Union have a stronger German identity than do citizens with a Turkish background. Nevertheless, the difference between these two groups is substantively small, perhaps because the transformation of immigration rules, citizenship laws, integration policies, and social norms in Germany over the last two decades has led to a greater identification with Germany and its emerging multicultural society.
Where Is the Rural Creative Class? A Systematic Literature Review About Creative Industries in Low-Density Areas
Authors: Silva Sofia R. , Marques Carla S. E. , Galvão Anderson R. 
Published: May 2023

AbstractResearch in creative industries is mostly focused on urban and metropolitan areas. However, various authors have approached the creative industries from a regional, rural, or remote point of view. The objective of this study is to map and analyze research on creative industries in low-density areas and to identify the main theories and current and future trends within this theme. For data collection, only articles published in the Web of Science and SCOPUS databases were used, from which a set of 152 documents was obtained. For this study, we used R Bibliometrix software to assist in result analysis and VOSViewer software, to create a reference co-citation’s map, which allowed us to identify three clusters, whose themes we analyzed in detail. The results allowed to show (i) an increase in investigations into creative industries in low-density areas in recent years, (ii) the main journals and authors that have contributed the most to this theme, (iii) the identification of the theories most used in these studies, and (iv) finally, the identification of three clusters: remoteness and place relations with the creative industries (cluster 1), critical perspectives and the spatial distribution of talent (cluster 2), and cultural policies and the genesis of the creative class (cluster 3). This study contributes to mapping and critically summarizing the existing literature linking the creative industries and low-density areas. In addition, the study made it possible to identify current and future trends in order to enhance new lines of investigation.
Properties of least squares estimator in estimation of average treatment effects
Authors: Hahn Jinyong 
Published: April 2023

AbstractTreatment effects are often estimated by the least squares estimator controlling for some covariates. This paper investigates its properties. When the propensity score is constant, it is a consistent estimator of the average treatment effects if it is viewed as a semiparametric partially linear regression estimator, but it is not necessarily more efficient than the simple difference-of-means estimator. If it is literally viewed as a least squares estimator with a finite number of controls, it is equal to the weighted average of conditional average treatment effects with potentially negative weights, although the negative weight issue does not exist under semiparametric interpretation. It is shown that the negative weight issue can be avoided by use of logit specification.
Chromite ore addition to serpentinized magnesite mining wastes for the production of refractory products following thermal treatment
Authors: Kalaitzidou K. , Pagona E. , Skyfta G. , Tzamos E. , Zouboulis A. , Mitrakas M. 
Published: April 2023

AbstractTaking a circular approach to mining facilities requires the further exploitation of produced solid wastes, which are now considered as potential raw materials. This research aims to the re-utilization of specific mining wastes, containing mainly geologically degraded serpentinized minerals, produced during the minerals’ enrichment process of extractive magnesite industry, combined with the addition of chromite ore, aiming to the upgrading of refractory properties of the product, by applying the appropriate thermal treatment. A representative sample examined, corresponding to the proper blending of different mineral waste samples from several waste piles of mining area, combined with various chromite ore’s content, followed by the investigation of optimum thermal treatment, considering the applied temperature and time. The scope was to maximize the (desired) forsterite mineral phase in the product and, hence, to improve its refractory properties. The optimum results (e.g., considering the firing shrinkage level and the mechanical strength) achieved by the application of thermal treatment at 1300 °C and after heating time for 120–240 min. The refractory properties generally improved after mixing of examined mining wastes and chromite ore, due to the achievement of the best molar ratio of constituents [MgO]/[SiO2] = 2.2, regarding the additive, enhancing the formation of forsterite, whereas the application of heating temperatures over 1300 °C led to the melting of enstatite mineral phase, resulting to the degradation of product. The obtained results reveal that the produced sintered products can exhibit better refractory properties, and can be used as refractory raw materials for relevant applications up to 1300 °C.
Coping with Administrative Workload: a Pilot Study in the Usefulness of a Workshop for Psychiatric Trainees
Authors: Deschamps Peter , Seker Asilay , van der Schaaf Marieke , Piot Marie-Aude 
Published: May 2023

Abstract
Objective
Administrative workload may have detrimental effects on medical postgraduate trainee satisfaction, capacity, and quality of care. Best-practice guidelines to help trainees cope have yet to be developed. This study explores perceptions of factors that influence the experience or amount of administrative workload at the personal and workplace level and evaluates the usefulness of a workshop on coping with this workload.

Methods
A workshop was developed based on the Job Demands-Resources model, including a survey on perceptions of administrative workload; presentation on coping at personal (e.g., time management) and workplace (e.g., dealing with institutional rules) levels; personal plan of change during a group discussion; and reflective questionnaire after the session and again after 2 months. Perceptions of psychiatry trainee participants (N = 48) were collected.

Results
Trainees estimated they spent half their time on administration (average 50%, SD = 15%). They wanted to spend less time (average 23%, SD = 11%) on most administrative duties, except for health record keeping. Personal factors that trainees experienced as helpful to cope included time management and analytical skills. Perfectionism was perceived as impeding. Supportive job factors included helpful supervisors, competent administrative staff, trust in a team, allocated timeslots, and information technology support. High workload and cumbersome procedures were mentioned as impeding. On average, trainees rated the workshop quality and the likelihood of bringing change to their practice with a 7 out of 10.

Conclusion
Psychiatry trainees’ participation in a workshop on coping with administrative load during their training may be a worthwhile investment in the long term.
Influential Spanish Politicians’ Discourse of Climate Change on Twitter: A Corpus-Assisted Discourse Study
Authors: Osama Ghoraba Mai 
Published: April 2023

AbstractThis piece of research explores language use in a sample of unprecedentedly studied discourse which is that of climate change communication by influential Spanish politicians via Twitter. For that purpose, we created a specialized corpus composed of tweets tackling climate change that were posted by influential Spanish politicians during the past decade. Our aim was to reveal prominent linguistic patterns that are susceptible of conveying a specific worldview (i.e.: the wording of reality) of climate change to Twitter users. Our analysis started with keywords analysis in order to gather quantitative data about the lexical choices deployed in our corpus, then by means of qualitative analysis based on semantic classification of keywords and the examination of their concordances we were able to point out distinctive features of our corpus’ discourse. Our results have revealed the prevalence of specific linguistic patterns, metaphors and frames that contribute to create a narrative of climate change as a villain and the human race, specifically political leaders, as the saviour.
Cervical mobility and cervical proprioception in relation to fall risk among older adults: a prospective cohort study
Authors: Roman de Mettelinge Tine , Desimpelaere Patrick , Cambier Dirk 
Published: April 2023

Abstract
Purpose
Age-related decreases in cervical mobility and proprioception have previously been demonstrated. Potential associations of these deteriorations with fall risk have not been investigated so far. This study aims to compare cervical mobility and proprioception between fallers and non-fallers and prospectively assess the contribution of these parameters in fall risk identification among healthy older adults.

Methods
95 community-dwelling older adults underwent a cervical screening. Active cervical range of motion (aCROM) was measured using a digital inclinometer and cervical proprioception was assessed by determining joint position error (JPE). Fear of falling was identified through the Iconographical Falls Efficacy Scale (iconFES). Falls were prospectively recorded during a 1-year follow-up period using monthly calendars. Univariate and multivariate logistic regression analyses were conducted to examine the association between these parameters and falls occurrence.

Results
Baseline measurements revealed reduced cervical performance (i.e., smaller aCROM and larger JPE) among individuals who reported at least one fall during the following year (“fallers”). The multivariate logistic regression model contained eight independent variables (age, sex, walking aid, fall history, iconFES, aCROM F, aCROM E and JPE) and correctly classified 77.8% of cases.

Conclusion
Although the contribution of cervical parameters to fall risk identification seems to be rather small compared to well-known (though often unmodifiable) major risk factors, further research is needed to elucidate underlying mechanisms of cervical functions in relation to falls. Second, it would be interesting to develop a targeted fall preventive cervical exercise program and assess its effectiveness in terms of falls occurrence.
Implementing Post-quantum Cryptography for Developers
Authors: Hekkala Julius , Muurman Mari , Halunen Kimmo , Vallivaara Visa 
Published: April 2023

AbstractWidely used public key cryptography is threatened by the development of quantum computers. Post-quantum algorithms have been designed for the purpose of protecting sensitive data against attacks with quantum computers. National Institute of Standards and Technology has recently reached the end of the third round of post-quantum standardization process and has published three digital signatures and one key encapsulation mechanism for standardization. Three of the chosen algorithms are based on lattices. When implementing complex cryptographic algorithms, developers commonly use cryptographic libraries in their solutions to avoid mistakes. However, most of the open-source cryptography libraries do not yet have post-quantum algorithms integrated in them. We chose a C++ cryptography library, Crypto++, and created a fork where we integrated four lattice-based post-quantum algorithms. We analyzed the challenges in the process as well as the performance, correctness and security of the implemented algorithms. The performance of the integrated algorithms was overall good, but the integration process had its challenges, many of which were caused by the mathematical complexity of lattice-based algorithms. Different open-source implementations of post-quantum algorithms will be essential to their easier use for developers. Usability of the implementations is also important to avoid possible mistakes when using the algorithms.
Using Marine Data to Estimate the Accuracy of Free Air Gravity Anomaly Models Derived From Satellite Altimetry
Authors: Rouxel D. , Sarzeaud O. , Lequentrec‐lalancette M. F. 
Published: May 2023

AbstractGlobal gravity models from satellite altimetry missions have widely contributed to the improvement of the knowledge over the oceans. However, few models are available with a validated accuracy model, as the most recent models V21 to V32 from Scripps Institution of Oceanography (SIO). The aim of this paper is to propose a method to estimate the accuracy of any free air gravity anomaly model derived from satellite altimetry from validated marine data sets. The main idea is to correlate the error of the model to the mean roughness of the free air gravity anomaly on precise marine measurement areas. The relationship obtained is then generalized to each point of the model. This error grid is eventually combined with the grid provided by the satellite models, reflecting the errors related to the technology of the different altimetry satellites used. The method has been successfully applied to successive versions of SIO gravity anomaly models (from V18 to V31) to produce continuous accuracy grids over the North Atlantic Ocean. Validation of the results from independent marine data shows that the proposed approach allows to strongly improve the estimation of the used models' accuracy which converges, whatever the tested versions, toward a minimal value of 0.9 mGal over flat areas.
Satellite‐Based Monitoring of Eutrophication in the Earth's Largest Transboundary Lake
Authors: Mozafari Zohra , Noori Roohollah , Siadatmousavi Seyed Mostafa , Afzalimehr Hossein , Azizpour Jafar 
Published: April 2023

AbstractThe world's large lakes and their life‐supporting services are rapidly threatened by eutrophication in the warming climate during the Anthropocene. Here, MODIS‐Aqua level 3 chlorophyll‐a data (2018–2021) were used to monitor trophic state in our planet's largest lake, that is, the Caspian Sea that accounts for approximately 40% of the total lacustrine waters on Earth. We also used the in situ measurements of chlorophyll‐a data (2009–2019) to further verify the accuracy of the data derived from the MODIS‐Aqua and to explore the deep chlorophyll‐a maxima (DCMs) in the south Caspian Sea. Our findings show an acceptable agreement between the chlorophyll‐a data derived from the MODIS‐Aqua and those measured in situ in the coast of Iran (coefficient of determination = 0.71). The oligotrophic, mesotrophic, and eutrophic states cover 66%, 20%, and 13% of the sea surface area, respectively. The DCMs are dominantly regulated by water transparency and they generally observe at depths of less than 20 and 30 m during the cold (autumn and winter) and warm (spring and summer) seasons, respectively. Our results suggest an ever‐increasing chlorophyll‐a in the shallow zones (i.e., coasts) and even in deep regions of the sea, mainly due to nutrient inputs from the Volga river delta. Alarming increase of chlorophyll‐a in this transboundary lake can amplify eutrophication under the lens of global warming and further threaten the lake ecosystem's health, where almost all legal agreements have not yet been implemented to protect the lake environment and its rich resources.