bluuebunny/crossref_metadata_2025_split huggingface dataset:
Voices of Women Veterans with Lower Limb Prostheses: a Qualitative Study
Authors: Lehavot Keren , Young Jessica P. , Thomas Rachel M. , Williams Rhonda M. , Turner Aaron P. , Norvell Daniel C. , Czerniecki Joseph M. , Korpak Anna , Littman Alyson J. 
Published: September 2022

Abstract
Background
Women Veterans with amputation are a group with unique needs whose numbers have grown over the last 5 years, accounting for nearly 3% of all Veterans with amputation in 2019. Although identified as a national priority by the Veterans Health Administration, the needs of this population have remained largely underrepresented in amputation research.

Objective
To describe the experiences of women Veterans with lower extremity amputation (LEA) related to prosthetic care provision and devices.

Design
National qualitative study using semi-structured individual interviews.

Participants
Thirty women Veterans with LEA who had been prescribed a prosthesis at least 12 months prior.

Approach
Inductive content analysis.

Key Results
Four key themes emerged: (1) a sense of “feeling invisible” and lacking a connection with other women Veterans with amputation; (2) the desire for prosthetic devices that meet their biological and social needs; (3) the need for individualized assessment and a prosthetic limb prescription process that is tailored to women Veterans; the current process was often perceived as biased and either dismissive of women’s concerns or failing to adequately solicit them; and (4) the desire for prosthetists who listen to and understand women’s needs.

Conclusions
Women Veterans with LEA articulated themes reminiscent of those previously reported by male Veterans with LEA, such as the importance of prostheses and the central role of the provider-patient relationship. However, they also articulated unique needs that could translate into specific strategies to improve prosthetic care, such as integrating formal opportunities for social support and peer interaction for women Veterans with LEA, advocating for administrative changes and research efforts to expand available prosthetic component options, and ensuring that clinical interactions are gender-sensitive and free of bias.
Paragastric Autonomic Neural Blockade to Prevent Early Visceral Pain and Associated Symptoms After Laparoscopic Sleeve Gastrectomy: a Randomized Clinical Trial
Authors: Daes Jorge , Morrell David J. , Hanssen Andrés , Caballero Melissa , Luque Elika , Pantoja Rafael , Luquetta Jorge , Pauli Eric M. 
Published: September 2022

Abstract

Background

Visceral pain (VP) following laparoscopic sleeve gastrectomy remains a substantial problem. VP is associated with autonomic symptoms, especially nausea and vomiting, and is unresponsive to traditional pain management algorithms aimed at alleviating somatic (incisional) pain. The present study was performed to evaluate the safety and effectiveness of laparoscopic paragastric autonomic neural blockade (PG-ANB) in managing the symptoms associated with VP following sleeve gastrectomy.

Study Design
This prospective, double-blinded, randomized clinical trial involved patients undergoing laparoscopic sleeve gastrectomy at two high-volume institutions. The patients were randomized to laparoscopic transversus abdominis plane block with or without PG-ANB. The primary outcome was patient-reported pain scores assessed at 1, 8, and 24 h postoperatively. The secondary outcome measures were analgesic requirements, nausea, vomiting, hiccups, and hemodynamic changes immediately after PG-ANB and postoperatively.

Results
In total, 145 patients (block group, n = 72; control group, n = 73) were included in the study. The heart rate and mean arterial pressure significantly decreased 10 min after PG-ANB. The visual analog scale score for pain was significantly lower in the PG-ANB than in the control group at 1 h postoperatively (p < 0.001) and 8 h postoperatively (p < 0.001). Vomiting, nausea, sialorrhea, and hiccups were significantly less prevalent in the PG-ANB group. Patients in the PG-ANB group received fewer cumulative doses of analgesics at 1 h postoperatively (p = 0.003) and 8 h postoperatively (p < 0.001). No differences between the groups were detected at 24 h (p = 0.298). No complications related to PG-ANB occurred.

Conclusion
PG-ANB safely and effectively reduces early VP, associated autonomic symptoms, and analgesic requirements after laparoscopic sleeve gastrectomy.

Graphical abstract
Tumor Microenvironment and Immune Escape in the Time Course of Glioblastoma
Authors: Virtuoso Assunta , De Luca Ciro , Cirillo Giovanni , Riva Matteo , Romano Gabriele , Bentivegna Angela , Lavitrano Marialuisa , Papa Michele , Giovannoni Roberto 
Published: September 2022

Abstract
Glioblastoma multiforme (GBM) is the most aggressive primary brain tumor with a malignant prognosis. GBM is characterized by high cellular heterogeneity and its progression relies on the interaction with the central nervous system, which ensures the immune-escape and tumor promotion. This interplay induces metabolic, (epi)-genetic and molecular rewiring in both domains. In the present study, we aim to characterize the time-related changes in the GBM landscape, using a syngeneic mouse model of primary GBM. GL261 glioma cells were injected in the right striatum of immuno-competent C57Bl/6 mice and animals were sacrificed after 7, 14, and 21 days (7D, 14D, 21D). The tumor development was assessed through 3D tomographic imaging and brains were processed for immunohistochemistry, immunofluorescence, and western blotting. A human transcriptomic database was inquired to support the translational value of the experimental data. Our results showed the dynamic of the tumor progression, being established as a bulk at 14D and surrounded by a dense scar of reactive astrocytes. The GBM growth was paralleled by the impairment in the microglial/macrophagic recruitment and antigen-presenting functions, while the invasive phase was characterized by changes in the extracellular matrix, as shown by the analysis of tenascin C and metalloproteinase-9. The present study emphasizes the role of the molecular changes in the microenvironment during the GBM progression, fostering the development of novel multi-targeted, time-dependent therapies in an experimental model similar to the human disease.
Key Drivers for Non-Centrifugal Sugar Cane Research, Technological Development, and Market Linkage: A Technological Roadmap Approach for Colombia
Authors: Flórez-Martínez Diego Hernando , Contreras-Pedraza Carlos Alberto , Escobar-Parra Sebastian , Rodríguez-Cortina Jader 
Published: September 2022

AbstractFood science innovation depends on consumers’ needs and is currently seeking functional food with health effects. Non-centrifugal cane sugar (NCS) is known for its potential health effects, but there is a lack of holistic analysis on technological advancement and socio-economic and market trends for decision-making in the development of the technology. The aim of this article was to analyse the research trends, recent patents, and market trends and niches for NCS to structure an NCS technological roadmap. Scientometric, bibliometric methods, and global and local market information on NCS were used. Comprehensive analysis of the worldwide research trends and patents on NCS processing and of the growth of the main niche markets for Colombian NCS exports in the last five years was conducted. Finally, with the information obtained, an NCS technological roadmap was structured, which can be used as a tool for planning innovation processes and supporting the development of new research using market information and new norms forged by the COVID-19 pandemic for Colombian case. Furthermore, the methodological design could be used for other NCS producer countries.
Numerical Whirl–Flutter analysis of a tiltrotor semi-span wind tunnel model
Authors: Cocco Alessandro , Mazzetti Stefano , Masarati Pierangelo , Hoff Stefan van’t , Timmerman Bart 
Published: September 2022

AbstractThis work presents the modeling and preliminary Whirl–Flutter stability results achieved within the Advanced Testbed for TILtrotor Aeroelastics (ATTILA) CleanSky2 project. The project addresses the design, manufacturing, and testing of a semi-span wind-tunnel model of the Next Generation Civil TiltRotor. The preliminary multibody models developed in support of the wind-tunnel testbed design are described, illustrating the modeling technique of each subcomponent of the model, namely the wing, the rotor, the blades, and the yoke. The methodologies used to analyze the stability of systems subjected to periodic aerodynamic excitation when the problem is modeled using full-featured multibody solvers are presented in support of Whirl–Flutter identification during wind-tunnel testing.
Structural optimization of an aeroelastic wind tunnel model for unsteady transonic testing
Authors: Dillinger Johannes , Meddaikar Yasser M. , Lepage Arnaud , Fabbiane Nicolo 
Published: September 2022

AbstractThe reduction of loads, ultimately leading to a weight reduction and thus an increase in aircraft performance, plays an important role in the design of modern aircraft. To this end, two aeroelastic tailoring methodologies, independently developed at ONERA and DLR and aiming at load reduction by means of a sophisticated application of composite materials, were applied to a common model geometry. A choice was made in favor of the publicly available NASA Common Research Model (CRM) wing, featuring a comprehensive database with respect to geometry, as well as analytical and experimental research results. The span of the wing half to be investigated was set to 0.55 m, limited by the test section dimensions. While wind tunnel testing was part of ONERA’s workshare, the model building was performed by DLR. This paper at hand focuses on the structural, aeroelastic optimization of the DLR wing. It is based on an optimization framework developed and constantly being enhanced and extended at the DLR - Institute of Aeroelasticity (DLR-AE). The paper describes the consideration of different structural objective functions, structural and aeroelastic constraint combinations, design field considerations, as well as the application of an aero load correction applied in the course of the optimization. The final results consist of the selection of an appropriate fiber type, optimized fiber layers represented as stacking sequence tables for the upper and lower wing skins, and the corresponding optimized jig twist distribution, required for manufacturing the lamination molds; in summary, all data required to start the construction of the wind tunnel model.
Illuminating the hepatotoxic mechanism of norcantharidin in rats using metabolomics analysis
Authors: Cheng Weina , Chen Qihong , Wang Xiaoning , Liu Liu , Li Xiaofei , Duan Cancan , Zhang Jianyong 
Published: September 2022

Abstract
Background
Norcantharidin (NCTD) has multiple antitumor effects. However, NCTD can induce significant hepatotoxicity and the mechanism of hepatotoxicity is not clear for now.

Objective
This study aimed to explore the hepatotoxicity of NCTD in rat by ultra-performance liquid chromatography (UPLC) quadrupole time-of-flight (Q-TOF)-MS (UPLC/Q-TOF-MS) metabolomics.

Results
Serum biochemical indices including alanine aminotransferase (ALT) and total bilirubin (T-BIL) were significantly increased. Histopathological and ultrastructure results revealed that hepatocytes were damaged. Furthermore, the metabolomics results showed that 11 metabolites in serum and 8 metabolites in liver were differential metabolites for NCTD hepatotoxicity. Four metabolic pathways including the sphingolipid metabolism, purine metabolism, arachidonic acid metabolism, and glycerophospholipid metabolism were the key metabolic pathways related to NCTD hepatotoxicity.

Conclusion
The metabolomics analysis in this study reveal new clues on the hepatotoxicity mechanism of NCTD in rats. These findings have potential applications in the toxicity study of NCTD.
Relationships in context and contexts of relationship: a normative transition at the end of Secondary Education
Authors: Maya-Jariego Isidro , Holgado-Ramos Daniel 
Published: September 2022

AbstractHigh school is an institution where teens spend a large part of their time. Consequently, in this context, a dense network of relationships tends to be formed during the period of study at the institute. However, at the end of secondary school, this set of contextualized relationships begins to disintegrate. In this study, we analyze the transition from high school to university of a cohort of high school students. First, we interviewed all the students who were in their last year of high school at an institute in the province of Seville (n = 69). A year and a half later, we interviewed them again when many of them were already studying at university (n = 57). Using a hybrid research design, we collected personal network data from each interviewee in the context of a longitudinal whole network design of the entire cohort analyzed. The results show a decrease in the structural cohesion of the networks, both for personal networks and for the complete network. Furthermore, less cohesive personal networks seem more likely to experience short-term changes in ecological transition processes. In the discussion we reflect on the impact of educational transitions on friendship relationships.
SQSTM1/p62 promotes miR-198 loading into extracellular vesicles and its autophagy-related secretion
Authors: Yu Xiaojie , Eischeid-Scholz Hannah , Meder Lydia , Kondylis Vangelis , Büttner Reinhard , Odenthal Margarete 
Published: September 2022

AbstractMicroRNA dysregulation is a hallmark of hepatocellular carcinoma (HCC), leading to tumor growth and metastasis. Previous screening on patient specimens identified miR-198 as the most downregulated miRNA in HCC. Here, we show that miR-198 compensation leads to self-release into extracellular vesicles (EVs). Importantly, the vesicular secretion is mediated by autophagy-related pathway, initiated by sequestration of p62/miR-198 complexes in autophagosome-associated vesicle fractions. miR-198 is selectively recognized and loaded by p62 into autophagosomal fractions, whereas mutated miR-198 forms neither induce autophagy and nor interact with p62. Gain and loss of function experiments, using a CRIPR/Cas knockout (KO) and transgenic site-specific p62 mutants, identified p62 as an essential repressor of cellular miR-198 abundancy. Notably, EVs, harboring miR-198/p62 protein complexes, can be uptaken by cells in the close vicinity, leading to change of gene expression in recipient cells. In conclusion, miR-198 enhances autophagy; conversely autophagic protein p62 reduces the miR-198 levels by sorting into extracellular space.
Graphical abstract

miR-198 is at first transcribed as primary miRNA, after being processed into single stranded mature miR-198 form, it is transported into cytoplasm ①. By interaction with p62 protein, miR-198 conglomerates and forms a binding complex ②. Since LC3 protein is an interaction partner of p62 protein, hence miR-198 is included into autophagosomes ③. By fusion with multivesicular bodies (MVB), miR-198-binding complex was recruited into amphisomes ④, the latter of which quickly turns into secretory MVB containing intraluminal vesicles⑤. By fusion with cell membrane, intraluminal vesicles were released into extracellular space as EVs ⑥.
On the approximation of derivative values using a WENO algorithm with progressive order of accuracy close to discontinuities
Authors: Amat Sergio , Ruiz-Álvarez Juan , Shu Chi-Wang , Yáñez Dionisio F. 
Published: September 2022

AbstractIn this article, we introduce a new WENO algorithm that aims to calculate an approximation to derivative values of a function in a non-regular grid. We adapt the ideas presented in [Amat et al., SIAM J. Numer. Anal. (2020)] to design the nonlinear weights in a manner such that the order of accuracy is maximum in the intervals close to the discontinuities. Some proofs, remarks on the choice of the stencils and explicit formulas for the weights and smoothness indicators are given. We also present some numerical experiments to confirm the theoretical results.
A Consideration of Alternative Sample Spaces Used in Coin-Toss Problems
Authors: Renelle Amy , Budgett Stephanie , Jones Rhys 
Published: September 2022

AbstractThis paper examines coin-toss comparison questions from two recent studies involving undergraduate students and high school teachers and connects to findings from two prior studies in the literature. Considering possible sample spaces employed by participants, this is a reflection on whether one sequence could be more likely depending on the interpretation of the question. To critique the choice of sequences and determine possible scenarios in which one sequence may be more likely than the other, three alternative sample spaces were explored. It was determined that different sample spaces can lead to one sequence being more likely to occur than the other. Further evaluation discusses whether alternative sample spaces may have been utilised by the participants in each of the studies, and hence, the paper concludes with an advocacy to enquire deeper into participants’ reasoning when investigating coin-toss questions.
Impact of COVID-19 on financial returns: a spatial dynamic panel data model with random effects
Authors: Billé Anna Gloria , Caporin Massimiliano 
Published: September 2022

AbstractUsing a dataset including financial market returns and volatility proxies for several countries, we analyzed the impact of Covid-19 deaths on the financial economy. From the modeling perspective, we consider a spatial panel data model for returns and a spatial dynamic panel data for volatilities. Proper marginal effects are calculated to exploit information on short- and long-term effects. A Chow test is used to identify the existence of a structural break in each series. Our empirical evidence shows that in the first weeks of the Covid-19 outbreak, until mid-March 2020, the identified break date, the spatial effect of Covid-19 deaths was statistically significant, leading to a contraction in returns and an increase in risk. Moreover, the effects disappeared in the remaining months as the financial markets moved back to pre-crisis levels, causing a decrease in the overall risk. Our evidence supports the behavioral impact of the pandemic on financial markets.
Emerging Technologies Supporting the Transition to a Circular Economy in the Plastic Materials Value Chain
Authors: Aristi Capetillo Alejandro , Bauer Fredric , Chaminade Cristina 
Published: September 2022

AbstractPlastic waste has come to the forefront of academic and political debates as a global problem that demands an urgent solution. Promoted by policymakers, academia, and corporations alike, the circular economy model presents a viable path to reach more sustainable levels of development. Emerging and disruptive technologies can catalyse the transition to a circular economy, but their application to the transition of the plastic materials realm is not fully understood. Based on a systematic review of the literature, this paper aims to understand the role of key emerging technologies in the transition towards a circular economy in the plastic materials value chain, their potential impact, as well as the barriers of adoption and diffusion. Employing the ReSOLVE framework, the analysis reveals that rather than individual technologies, four technology sets associated with Industry 4.0, distributed economies, bio-based systems, and chemical recycling stand as major enablers of this transition. The complementarity of technologies and the change needed from a systemic perspective are discussed along with a proposal for governance and practical implementation pathway to overcome barriers and resistance to the transition.
Segmentation of ethics, legal, and social issues (ELSI) related to AI in Japan, the United States, and Germany
Authors: Ikkatai Yuko , Hartwig Tilman , Takanashi Naohiro , Yokoyama Hiromi M. 
Published: September 2022

AbstractArtificial intelligence (AI) is often accompanied by public concern. In this study, we quantitatively evaluated a source of public concern using the framework for ethics, legal, and social issues (ELSI). Concern was compared among people in Japan, the United States, and Germany using four different scenarios: (1) the use of AI to replicate the voice of a famous deceased singer, (2) the use of AI for customer service, (3) the use of AI for autonomous weapons, and (4) the use of AI for preventing criminal activities. The results show that the most striking difference was in the response to the “weapon” scenario. Respondents from Japan showed greater concern than those in the other two countries. Older respondents had more concerns, and respondents who had a deeper understanding of AI were more likely to have concerns related to the legal aspects of it. We also found that attitudes toward legal issues were the key to segmenting their attitudes toward ELSI related to AI: Positive, Less skeptical of laws, Skeptical of laws, and Negative.
Estimate of undetected severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infection in acute-care hospital settings using an individual-based microsimulation model
Authors: Jones Kasey , Hadley Emily , Preiss Sandy , Lofgren Eric T. , Rice Donald P. , Stoner Marie C. D. , Rhea Sarah , Adams Joëlla W. 
Published: September 2022

AbstractObjective:Current guidance states that asymptomatic screening for severe acute respiratory coronavirus virus 2 (SARS-CoV-2) prior to admission to an acute-care setting is at the facility’s discretion. This study’s objective was to estimate the number of undetected cases of SARS-CoV-2 admitted as inpatients under 4 testing approaches and varying assumptions.Design and setting:Individual-based microsimulation of 104 North Carolina acute-care hospitalsPatients:All simulated inpatient admissions to acute-care hospitals from December 15, 2021, to January 13, 2022 [ie, during the SARS-COV-2 ο (omicron) variant surge].Interventions:We simulated (1) only testing symptomatic patients, (2) 1-stage antigen testing with no confirmatory polymerase chain reaction (PCR) test, (3) 1-stage antigen testing with a confirmatory PCR for negative results, and (4) serial antigen screening (ie, repeat antigen test 2 days after a negative result).Results:Over 1 month, there were 77,980 admissions: 13.7% for COVID-19, 4.3% with but not for COVID-19, and 82.0% for non–COVID-19 indications without current infection. Without asymptomatic screening, 1,089 (credible interval [CI], 946–1,253) total SARS-CoV-2 infections (7.72%) went undetected. With 1-stage antigen screening, 734 (CI, 638–845) asymptomatic infections (67.4%) were detected, with 1,277 false positives. With combined antigen and PCR screening, 1,007 (CI, 875–1,159) asymptomatic infections (92.5%) were detected, with 5,578 false positives. A serial antigen testing policy detected 973 (CI, 845–1,120) asymptomatic infections (89.4%), with 2,529 false positives.Conclusions:Serial antigen testing identified >85% of asymptomatic infections and resulted in fewer false positives with less cost per identified infection compared to combined antigen plus PCR testing.