bluuebunny/crossref_metadata_2025_split huggingface dataset:
Minimally invasive esophagectomy for cancer in COVID hospitals and oncological hubs: are the outcomes different?
Authors: Milito Pamela , Asti Emanuele , Resta Marco , Bonavina Luigi 
Published: March 2022

Summary
Introduction
The outbreak of coronavirus disease 2019 (COVID-19) has caused significant delays in oncological care worldwide due to restriction of elective surgery and intensive care unit capacity. It has been hypothesized that COVID-free oncological hubs can provide safer elective cancer surgery compared to COVID hospitals. The primary aim of the present study was to analyze the outcomes of minimally invasive esophagectomy for cancer performed in both hospital settings by the same surgical staff.

Methods
All esophagectomies for cancer performed during the pandemic by a single team were reviewed and data were compared with control patients operated during the preceding year. Screening for severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) was performed prior to surgery, and special precautions were taken to mitigate hospital-related transmission of COVID-19 among patients and healthcare workers.

Results
Compared to the prepandemic period, the esophagectomy volume decreased by 64%. Comorbidities, time from onset of symptoms to first visit, waiting time between diagnosis and surgery, operative approach and technique, and the pathological staging were similar. None of the patients tested positive for COVID-19 during in-hospital stay, and esophagectomy was associated with similar outcomes compared to control patients.

Conclusion
Outcomes of minimally invasive esophagectomy for cancer performed in a COVID hospital after implementation of a COVID-free surgical pathway did not differ from those obtained in an oncological hub by the same surgical team.
Misconceptions in Physics Explainer Videos and the Illusion of Understanding: an Experimental Study
Authors: Kulgemeyer Christoph , Wittwer Jörg 
Published: March 2022

AbstractSome of the online explainer videos for physics present misconceptions as scientifically correct explanations. Even so, some of these videos achieve good ratings on online platforms. A possible reason is that explainer videos with misconceptions foster an “illusion of understanding”—the mistaken belief that a topic has been understood. Misconceptions close to everyday experiences might appear more attractive than scientifically correct explanations. This experimental study (N = 149 physics learners with a low prior knowledge on average, sample of convenience) was conducted to explore this effect. Two explainer videos were developed to be comparable in terms of comprehensibility and duration. The explanatory approach was the only difference between the two videos. While the experimental group watched a video introducing the concept of force using misconceptions, the control group watched a scientifically correct video. Learners from the experimental group developed an equal belief of understanding, but more misconceptions and fewer scientifically correct conceptions than those from the control group. We argue that this illusion of understanding might become problematic (a) in physics instruction because students who have watched a misleading video might regard further teaching in school as irrelevant, and (b) learners might tend to rate videos including misconceptions better on an online platform like YouTube. Future studies should examine these two possible consequences.
High-T$$_c$$ Cuprates: a Story of Two Electronic Subsystems
Authors: Barišić N. , Sunko D. K. 
Published: March 2022

AbstractA review of the phenomenology and microscopy of cuprate superconductors is presented, with particular attention to universal conductance features, which reveal the existence of two electronic subsystems. The overall electronic system consists of $$1+p$$

1
+
p

charges, where p is the doping. At low dopings, exactly one hole is localized per planar copper–oxygen unit, while upon increasing doping and temperature, the hole is gradually delocalized and becomes itinerant. Remarkably, the itinerant holes exhibit identical Fermi liquid character across the cuprate phase diagram. This universality enables a simple count of carrier density and yields comprehensive understanding of the key features in the normal and superconducting state. A possible superconducting mechanism is presented, compatible with the key experimental facts. The base of this mechanism is the interaction of fast Fermi liquid carriers with localized holes. A change in the microscopic nature of chemical bonding in the copper oxide planes, from ionic to covalent, is invoked to explain the phase diagram of these fascinating compounds.
A novel solution of deep learning for endoscopic ultrasound image segmentation: enhanced computer aided diagnosis of gastrointestinal stromal tumor
Authors: Tuladhar Sanira , Alsadoon Abeer , Prasad P. W. C. , Ali Akbas Ezaldeen , Alrubaie Ahmad 
Published: March 2022

AbstractGastrointestinal stromal tumor is one of the critical tumors that doctors do not suggest to get frequent endoscopy, so there is a need for a diagnosis system which can process ultrasound images and figure out the tumor. Many gastrointestinal tumor diagnosis methods were developed, but all of these methods used manual contour rather than automatic segmentation. The research adopts enhanced automatic segmentation to improve the diagnosis of the gastrointestinal stromal tumor with deep convolutional neural networks. This solution’s proposed system is an enhanced automated segmentation methodology using multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution, which segments the ultrasound image automatically into the region of interest (the infected area). Convolutional Neural Network with Class Activation Mapping is done to diagnose an image with the tumor for Four datasets, namely (USS1, SH Hospital, SNUH, BUSI). This proposed system helps to get a clearer tumor image, and the accuracy has increased from 84.275% to 88.4%, and the processing time has reduced from 28.525% to 24.575%. The proposed solution enhanced Automatic Segmentation helped to get clearer tumor image which resulted in increased accuracy and decreased performance time compared to the state-of-the-art. Automatic segmentation overcomes the dependency on the expert for drawing the Region of Interest (ROI).
Measuring competitiveness differentials inside the same region: a propensity-score matching approach
Authors: Fantechi F. , Fratesi U. 
Published: March 2022

AbstractThis paper analyses regional competitiveness at the subregional level through a novel methodological approach that adopts a matching design. By comparing the performance of similar firms in different parts of the region, it is possible to detect whether different places provide different competitive territorial assets. Using data for Lombardy, a large and competitive European region, the analysis shows that the different territories of the region are differently competitive in different industries, even when they are similar in terms of total GDP per capita or specialization. The paper also confirms that measuring competitiveness on different indicators (Labour Productivity, TFP, Profitability) can provide different results, and this especially happens when comparing static and dynamic indicators. The methodology presented here is especially relevant to the design of regional policies, that are mostly deployed at the NUTS-2 level but would benefit from accounting for the presence of strongly dis-homogeneous territories inside the same region.
Strategy Adjustments of the United States and the European Union vis-à-vis China: Democratic Global Power Identities and Fluid Polygonal Relations
Authors: Noesselt Nele 
Published: March 2022

AbstractHow are the European Union and its individual member states positioning themselves within the intensifying trade war and power struggles between Washington and Beijing? Does the fact that both the United States and the EU have recently updated their strategic approach to China and continuously underline their democratic regime patterns and support for like-minded systems—contrasted with Beijing as a perceived promoter of an illiberal world order—imply a return of “Cold War” system antagonism? Could this also result in a reemergence of strategic triangles? Shedding light on Washington’s expression of active support for Taiwan (and Hong Kong) and EUrope’s related position statements, this article concludes that these emerging constellations would best be described as strategic polygonal relationships. While the EU Commission seeks to formulate a common foreign and security strategy, the various EU member states are defining their distinct positions within the new global power matrix emerging between Washington and Beijing.
Exploring informal science education responses to COVID-19 global pandemic: learning from the case of the Gwacheon National Science Museum in Korea
Authors: Kim Myeong Ji , Kang Da Yeon , Martin Sonya N. 
Published: March 2022

AbstractScience museums have long been heralded as important informal science education sites where people can engage in voluntary and experiential science learning. In this paper, we identify and raise questions about how science museum responses to a global pandemic could impact on accessibility of informal science education for the public. To explore these issues, we examined the response of the Gwacheon National Science Museum (GNSM) to COVID-19 in South Korea using publicly available data from the museum website and museum YouTube video channel. Analysis shows that the pandemic has increased and diversified the GNSM’s provision of science content for the general public via online platforms, such as YouTube and the museum website. In addition, GNSM educators are preparing special outreach education projects for deaf and blind visitors, who have often been excluded from informal science learning opportunities. By discussing these changes, we seek to raise questions about the potential for a global pandemic, like COVID-19, to affect informal science learning opportunities for a diverse group of people.
Structured reporting of x-ray mammography in the first diagnosis of breast cancer: a Delphi consensus proposal
Authors: Neri Emanuele , Granata Vincenza , Montemezzi Stefania , Belli Paolo , Bernardi Daniela , Brancato Beniamino , Caumo Francesca , Calabrese Massimo , Coppola Francesca , Cossu Elsa , Faggioni Lorenzo , Frigerio Alfonso , Fusco Roberta , Petrillo Antonella , Girardi Veronica , Iacconi Chiara , Marini Carolina , Marino Maria Adele , Martincich Laura , Nori Jacopo , Pediconi Federica , Saguatti Gianni , Sansone Mario , Sardanelli Francesco , Scaperrotta Gianfranco Paride , Zuiani Chiara , Ciaghi Eleonora , Montella Marco , Miele Vittorio , Grassi Roberto 
Published: March 2022

Abstract
Background
Radiology is an essential tool in the management of a patient. The aim of this manuscript was to build structured report (SR) Mammography based in Breast Cancer.

Methods
A working team of 16 experts (group A) was composed to create a SR for Mammography Breast Cancer. A further working group of 4 experts (group B), blinded to the activities of the group A, was composed to assess the quality and clinical usefulness of the SR final draft. Modified Delphi process was used to assess level of agreement for all report sections. Cronbach’s alpha (Cα) correlation coefficient was used to assess internal consistency and to measure quality analysis according to the average inter-item correlation.

Results
The final SR version was built by including n = 2 items in Personal Data, n = 4 items in Setting, n = 2 items in Comparison with previous breast examination, n = 19 items in Anamnesis and clinical context; n = 10 items in Technique; n = 1 item in Radiation dose; n = 5 items Parenchymal pattern; n = 28 items in Description of the finding; n = 12 items in Diagnostic categories and Report and n = 1 item in Conclusions. The overall mean score of the experts and the sum of score for structured report were 4.9 and 807 in the second round. The Cronbach’s alpha (Cα) correlation coefficient was 0.82 in the second round. About the quality evaluation, the overall mean score of the experts was 3.3. The Cronbach’s alpha (Cα) correlation coefficient was 0.90.

Conclusions
Structured reporting improves the quality, clarity and reproducibility of reports across departments, cities, countries and internationally and will assist patient management and improve breast health care and facilitate research.
Welchen Herausforderungen begegnen Kreativdirektor/innen in Werbeagenturen? Exploration einer neuen Zielgruppe für Beratung
Authors: Stiens Annchen 
Published: March 2022

ZusammenfassungObwohl creative leadership zu den buzzwords der letzten Jahre gehörte, sind Kreativdirektor/innen in Werbeagenturen von der Wissenschaft in Deutschland bislang unbeachtet geblieben. Die vorliegende qualitative Untersuchung hat im Rahmen von sechs Interviews mit Kreativdirektor/innen analysiert, welchen Herausforderungen diese Zielgruppe in ihrem Berufsalltag begegnen. Das Ergebnis der Untersuchung zeigt, dass neben der Vereinbarung von kreativem Arbeiten mit Führungsaufgaben neue Organisationsformen, der digitale Wandel, die Auseinandersetzung mit nachfolgenden Generationen und das eigene Älterwerden die größten Herausforderungen darstellen.
Das Image von Coaching in der Kommunalverwaltung: Ergebnisse einer quantitativen Studie
Authors: Stiewe Sebastian 
Published: March 2022

ZusammenfassungIn einer quantitativen Studie wurde das Image von Coaching im Kontext kommunaler Verwaltungen in Nordrhein-Westfalen untersucht. Der Autor verwendet dazu das mehrdimensionale Imagekonstrukt aus der Marken- und Konsumforschung und überträgt dieses auf das Beratungsformat Coaching. Neben der Sichtweise der Führungskräfte werden Zusammenhänge mit dem Transferklima und strategischer Personalentwicklung aufgezeigt. Die Ergebnisse zeigen ein insgesamt positives Image von Coaching in der Kommunalverwaltung. Des Weiteren betonen sie die Relevanz eines positiven Transferklimas und den Anteil des Images am positiv bewerteten Coachingtransfer. Zusammenhänge strategischer Personalentwicklung mit dem Image konnten für Teilaspekte nachgewiesen werden.
Urban ambient air pollution and substance use disorder
Authors: Szyszkowicz Mieczysław 
Published: March 2022

AbstractThere is growing evidence that air pollutants might affect human behavior. This study assesses the associations between air pollution concentrations and emergency department (ED) visits for abuse of psychoactive substances. 28,745 such ED visits were identified and retrieved from a health database containing diagnosed visits from five hospitals in Edmonton (Canada) over 10 years. The ED visits were analyzed as daily counts. Conditional Poisson regression models were used to estimate the associations between the number of ED visits and concentration levels of gaseous air pollutants (carbon monoxide (CO), nitrogen dioxide (NO2), sulphur dioxide (SO2), ozone (O3)) and particulate matters (PM2.5 and PM10, fine and coarse, respectively). Air pollutants and weather factors in the realized statistical models were lagged by the same number of days, from 0 to 5 days. The associations were estimated in the form of concentration-response functions. The results show relative risks and their 95% confidence intervals. Positive and statistically significant associations were obtained for CO for all patients (lags from 0 to 5), males (lags 1 and 3–5), and females (lag 4). For NO2, exposure lagged by 1 and 2 days has a positive statistically significant association for all and male patients. PM10 shows the same type of associations lagged by 2 and 3 days. PM2.5 (lag 2) is associated only in females. The results indicate that urban air pollution may have an impact on the abuse of psychoactive substances.
Effects of Tauroursodeoxycholic Acid and 4-Phenylbutyric Acid on Selenium Distribution in Mice Model with Type 1 Diabetes
Authors: Xing Dongyang , Zhou Qi , Wang Yiting , Xu Jiancheng 
Published: March 2022

AbstractThe effect of selenium on diabetes is significant. As pharmaceutical chaperones, tauroursodeoxycholic acid (TUDCA) and 4-phenylbutyric acid (4-PBA) can effectively improve the oxidative stress of the endoplasmic reticulum. This study established a mice model with type 1 diabetes (T1D) to evaluate the effects of pharmaceutical chaperones on selenium distribution. Streptozotocin was used to induce Friend virus B-type mice to establish a T1D mice model. Mice were administered with TUDCA or 4-PBA. Selenium levels in different tissues were measured by inductively coupled plasma-mass spectroscopy (ICP-MS). After treatment with TUDCA and 4-PBA, related laboratory findings such as glucose and glycated serum protein were significantly reduced and were closer to normal levels. At 2 weeks, 4-PBA normalized selenium levels in the heart, and 4-PBA and TUDCA maintained the selenium in the liver, kidney, and muscle at normal. At 2 months, 4-PBA and TUDCA maintained the selenium in the heart, liver, and kidney at normal levels. The serum selenium had a positive correlation with zinc and copper in the diabetes group and the control group, while the serum selenium had no significant association with magnesium and calcium at 2 weeks and 2 months. TUDCA and 4-PBA have crucial effects on selenium distribution in diabetic mice, and further research is needed to research their internal mechanisms.
SEOM-TTCC clinical guideline in nasopharynx cancer (2021)
Authors: Rueda Domínguez Antonio , Cirauqui Beatriz , García Castaño Almudena , Alvarez Cabellos Ruth , Carral Maseda Alberto , Castelo Fernández Beatriz , Iglesias Rey Leticia , Rubió-Casadevall Jordi , Arrazubi Virginia , Mesía Ricard 
Published: March 2022

AbstractNasopharyngeal carcinoma (NPC) is distinct from other cancers of the head and neck in biology, epidemiology, histology, natural history, and response to treatment. Radiotherapy (RT) is the cornerstone of locoregional treatment of non-disseminated disease and the association of chemotherapy improves the rates of survival. In the case of metastatic disease stages, treatment requires platinum/gemcitabine-based chemotherapy and patients may achieve a long survival time.
The role of problem-solving ability, beyond academic motivation, in college students’ psychological adjustment
Authors: de la Fuente Amaia , Cardeñoso Olga , Chang Edward C. , Lucas Abigael G. , Li Mingqi , Chang Olivia D. 
Published: March 2022

AbstractIn the changing and demanding university context, various situations are experienced wherein abilities to maintain motivation and activate problem solving could be relevant in students’ adjustment. Beyond the widely analyzed role of academic motivation, this study focused on the added value of social problem-solving ability in student adjustment in the academic context. Analyses based on the responses obtained from 253 students (197 women and 56 men) indicated the significant role of social problem-solving ability in student adjustment, with a small additional amount (f2 = .09) 9% of variance in life satisfaction and medium additional amount (f2 = .17) 15% of variance in depressive symptoms, beyond academic motivation. In particular, negative problem orientation was an important predictor of depressive symptoms (β = .41, p < .001) and life satisfaction (β =  − .26, p < .001); however, positive problem orientation was only an important predictor of life satisfaction (β = .21, p < .01). This study also showed the predictive role of the value, expectancy, and affection components of motivation in student adjustment. Overall, the findings highlight the relevance of training in problem-solving orientation and motivational components to improve college students’ general well-being.
The State of Dispositional Mindfulness Research
Authors: Karl Johannes A. , Fischer Ronald 
Published: March 2022

Abstract
Objectives
We present a bibliometric review of research on trait mindfulness published from 2003 until 2021 to determine the current state of the field and identify research trajectories.

Methods
A search conducted on Aug 25, 2021, using the search terms “trait mindfulness” OR “dispositional mindfulness” in the Web of Science Core Collection identified 1405 documents.

Results
Using keyword-based network analyses, the various clusters suggested two major approaches in the field, one focusing on cognitive attentional processes, and a second approach that encompasses a wider field of well-being and clinical research topics. We also documented increasing consolidation of research fields over time, with research on wider individual differences such as personality being subsumed into clinically and well-being-oriented research topics. More recently, a distinct theme focused on the validity of measurement of mindfulness emerged. In addition to general patterns in the field, we examined the global distribution of trait mindfulness research. Research output was substantially skewed towards North American-based researchers with less international collaborations. Chinese researchers nevertheless also produced research at significant rates. Comparing the difference in research topics between China and the US-based researchers, we found substantial differences with US research emphasizing meditation and substance abuse issues, whereas researchers from China focused on methodological questions and concerns around phone addiction.

Conclusions
Overall, our review indicates that research on trait mindfulness might profit from conceptual and cultural realignment, with greater focus on individual differences research as well as stronger focus on cross-cultural and comparative studies to complement the strong clinical and cognitive focus in the current literature.
An Embodied Predictive Processing Theory of Pain Experience
Authors: Kiverstein Julian , Kirchhoff Michael D. , Thacker Mick 
Published: March 2022

AbstractThis paper aims to provide a theoretical framework for explaining the subjective character of pain experience in terms of what we will call ‘embodied predictive processing’. The predictive processing (PP) theory is a family of views that take perception, action, emotion and cognition to all work together in the service of prediction error minimisation. In this paper we propose an embodied perspective on the PP theory we call the ‘embodied predictive processing (EPP) theory. The EPP theory proposes to explain pain in terms of processes distributed across the whole body. The prediction error minimising system that generates pain experience comprises the immune system, the endocrine system, and the autonomic system in continuous causal interaction with pathways spread across the whole neural axis. We will argue that these systems function in a coordinated and coherent manner as a single complex adaptive system to maintain homeostasis. This system, which we refer to as the neural-endocrine-immune (NEI) system, maintains homeostasis through the process of prediction error minimisation. We go on to propose a view of the NEI ensemble as a multiscale nesting of Markov blankets that integrates the smallest scale of the cell to the largest scale of the embodied person in pain. We set out to show how the EPP theory can make sense of how pain experience could be neurobiologically constituted. We take it to be a constraint on the adequacy of a scientific explanation of subjectivity of pain experience that it makes it intelligible how pain can simultaneously be a local sensing of the body, and, at the same time, a more global, all-encompassing attitude towards the environment. Our aim in what follows is to show how the EPP theory can meet this constraint.