bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robust Multiscale Electron/Ion Transport and Enhanced Structural Stability in SiOx Semi‐Solid Anolytes Enabled by Trifunctional Artificial Interfaces for High‐Performance Li‐Ion Slurry Flow Batteries
Authors: Pan Shanshan , Yang Lipeng , Su Peipei , Zhang Haitao , Zhang Suojiang 
Published: July 2022

AbstractSiOx suspension is regarded as an attractive anolyte for high‐energy‐density Li‐ion slurry flow batteries. However, the poor electronic conductivity and non‐negligible volume variation of SiOx greatly hinder its practical applications. Herein, these issues are successfully addressed by rationally designing a trifunctional interface with mixed electron/ion and hard/soft modulated properties on SiOx surface via H‐bonding interactions. The interface comprises a lithiated polymer layer (LiPN) interfused with functionalized single‐walled carbon nanotubes. Carbon nanotubes work as electrical tentacles to enhance the multiscale electron conduction. The LiPN layer with transferable Li‐ions facilitates ion transport. In addition, the LiPN layer employs lithiated rigid polyacrylic acid as a framework to provide mechanical support and soft nafion as a buffer to accommodate volume change, which maintains the structural integrity of SiOx. Hence, SiOx@LiPN/S anolytes exhibit significantly improved rate and cycle performances. Specially, the interface enables the anolytes to load more active particles (30 wt%) or less conductive additives (0.4 wt%). The semi‐solid pouch cells based on high‐active‐content anolytes with stable cyclability are first demonstrated and the flow cell using low‐conductive‐content anolytes displays a high volumetric capacity of 207 Ah L−1. This strategy paves a novel approach for optimizing semi‐solid electrodes for high‐performance Li‐ion slurry flow batteries.
Wood‐Derived Monolithic Catalysts with the Ability of Activating Water Molecules for Oxygen Electrocatalysis
Authors: Zhang Pengxiang , Liu Yanyan , Wang Songlin , Zhou Limin , Liu Tao , Sun Kang , Cao Huaqiang , Jiang Jianchun , Wu Xianli , Li Baojun 
Published: July 2022

AbstractOxygen reduction reaction (ORR) is the key reaction on cathode of rechargeable zinc–air batteries (ZABs). However, the lack of protons in alkaline conditions limits the rate of ORR. Herein, an activating water strategy is proposed to promote oxygen electrocatalytic activity by enhancing the proton production from water dissociation. FeP nanoparticles (NPs) are coupled on N‐doped wood‐derived catalytically active carbon (FeP‐NWCC) to associate bifunctional active sites. In alkaline, FeP‐NWCC possesses outstanding catalytic activities toward ORR (E1/2 = 0.86 V) and Oxygen evolution reaction (OER) (overpotential is 310 mV at 10 mA cm−2). The liquid ZABs assembled by FeP‐NWCC deliver superior peak power density (144 mW cm−2) and cycle stability (over 450 h). The quasi‐solid‐state ZABs based on FeP‐NWCC also display excellent performances. Theoretical calculation illustrates that the superb bifunctional performance of FeP‐NWCC results from the elevated dissociation efficiency of water via FeP NPs to assist the oxygen catalytic process. The strategy of activating water provides a new perspective for the design of ORR/OER bifunctional catalysts. This work is a model for the application of forest biomass.
Blockchain for requirements traceability: A qualitative approach
Authors: Demi Selina , Sánchez‐Gordón Mary , Kristiansen Monica 
Published: July 2022

AbstractBlockchain technology has emerged as a “disruptive innovation” that has received significant attention in academic and organizational settings. However, most of the existing research is focused on technical issues of blockchain systems, overlooking the organizational perspective. This study adopted a grounded theory to unveil the blockchain implementation process in organizations from the lens of blockchain experts. The results revealed three main categories: key activities, success factors, and challenges related to blockchain implementation in organizations, the latter being identified as the core category, along with 17 other concepts. Findings suggested that the majority of blockchain projects stop at the pilot stage and outlined organizational resistance to change as the core challenge. According to the experts, the following factors contribute to the organizational resistance to change: innovation–production gap, conservative management, and centralized mentality. The study aims to contribute to the existing blockchain literature by providing a holistic and domain‐agnostic view of the blockchain implementation process in organizational settings. This can potentially encourage the development and implementation of blockchain solutions and guide practitioners who are interested in leveraging the inherent benefits of this technology. In addition, the results are used to improve a blockchain‐enabled requirements traceability framework proposed in our previous paper.
All or nothing? A second look at partial levator avulsion
Authors: Dietz H. P. , Shek K. L. , Low G. K. 
Published: July 2022

AbstractObjectiveTo define associations between partial levator trauma and symptoms and signs of pelvic organ prolapse (POP).MethodsThis was a retrospective study of 3484 women attending a tertiary urogynecology unit for symptoms of pelvic floor dysfunction between January 2012 and February 2020. All women underwent a standardized interview, clinical pelvic organ prolapse quantification (POP‐Q) examination and tomographic ultrasound imaging of the pelvic floor. Women with full levator avulsion were excluded from analysis. Partial levator avulsion was quantified using the tomographic trauma score (TTS), in which slices 3–8 are scored bilaterally for abnormal insertions. Binomial multiple logistic regression was analyzed independently for the outcome variables prolapse symptoms, symptom bother and objective prolapse on clinical examination and imaging, with age and body mass index as covariates. Two continuous outcome variables, prolapse bother score and hiatal area on Valsalva, were analyzed using multiple linear regression.ResultsOf the 3484 women, ultrasound data were missing or incomplete in 164 due to lack of equipment, clerical error and/or inadequate image quality. Full levator avulsion was diagnosed in 807 women, leaving 2513 for analysis. TTS ranged from 0–10, with a median of 0. Partial trauma (TTS > 0) was observed in 667/2513 (26.5%) women. All subjective and objective measures of POP were associated significantly with TTS, most strongly for cystocele. Associations were broadly linear and similar for all slice locations but disappeared after accounting for hiatal area on Valsalva.ConclusionPartial avulsion is associated with POP and prolapse symptoms. This association was strongest for cystocele, both on POP‐Q and ultrasound imaging. The effect of partial avulsion on POP and prolapse symptoms is explained fully by its effect on hiatal area. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.
A Family of K-12 Educators’ Innovative Responses to Overcome COVID-19 Challenges: Researchers’ Reflexivity Accounts
Authors: Durley Hui-Chen Kung , Ge Xun 
Published: July 2022

AbstractThe COVID-19 pandemic has brought unprecedented challenges as well as opportunities in different aspects of life and various settings, including K-12 public schools. This chapter presents the first author’s reflexive accounts of her family’s innovative responses and transformative experience to overcome the challenges as an educator and researcher, as well as her scholarly discussions with the second author regarding critical incidents she had identified. As researchers, we report our reflexivity process based on theoretical grounding, examine critical events, analyze themes and trends that emerged during the pandemic, co-construct meanings, and develop our positions. As a result, three themes emerged from our reflections: Shared physical and virtual spaces: family, school, and work all in one; learning and growing together in the shared space; and innovation to combat disparities between urban and suburban school districts. Our research reflexivity provides insightful implications to inform educational practice and improve the current educational systems. It also generates some theories to enrich current literature while revealing some directions for future research.
Creating Sustainable Early Childhood Learning Environments for Emergency Situations: The Case of Sweden, Kenya and South Africa
Authors: Mahlomaholo Sechaba M. G. , Mahlomaholo Makeresemese R. 
Published: July 2022

AbstractEarly Childhood Education (ECE) is understood to take place between birth and the age of 9 including preschool as well as primary school years. It is also at this stage that the greatest damage can be inflicted on the vulnerable growing child. This chapter through literature and data from one country internationally, one on the African continent and South Africa explores challenges of teaching and learning, at early childhood environments during the pandemic. These serve as bases for mapping out how these nations continue to survive and lay foundation for the future productive citizenry in their respective contexts. Issues of race and social class are laid bare so as to come up with plausible strategies to create sustainable early childhood learning environments. These are understood to be contexts where economic development of all in an environmentally sustainable manner for the social inclusion of all are emphasized. The chapter over and above the research literature also examines strategies as well as theories of sustainable early childhood learning environments by way of making recommendations for South Africa in its search for solutions under such emergency situations.
Emerging Reform of Higher Education in Post Pandemic
Authors: Lee Insook , Auh Yoonil , Lee Eunbae 
Published: July 2022

AbstractThe COVID-19 pandemic highlighted the reassessment of the potential transformation of digital education, thereby fueling the discussions on the need to rethink the future direction of higher education. Converting courses online was just one step toward a transformative paradigm. Further reexamination and drastic resetting of current education practice may be required, which can only be achieved with unprecedented levels of collaboration and open-minded innovations among stakeholders in education. Several practical recommendations were drawn from a case study based on the performing arts education (PAE) in the Korean higher education. They are, creating a platform for scalable innovations through the implementation of the right measure of technologies (learning technology innovation); advancing the effectiveness of technology integration in the non-traditional learning environment (pedagogical innovation); and promoting the cost efficiency of education (community knowledge construction innovations). This chapter explores and discusses the adaptation in educational / pedagogical technologies and suggests the building capacity for the future of PAE in the post-pandemic era.
Evolution of Clinical Education under COVID-19 Pandemic: Blended Clinical Education
Authors: Woo Alexander , Ngai Shirley 
Published: July 2022

AbstractClinical education is traditionally face-to-face and includes hands-on experience with patients. Under the pandemic, all clinical practice in various settings were suspended because of the safety concern of students, patients and clinical educators. Under the pandemic, the demand of the healthcare professionals for acute management and post-pandemic rehabilitation was increased. The suspension of clinical training delayed students’ graduation which was especially undesirable because of the insufficient manpower in society and the healthcare system. With limited knowledge on the transmission, management and post-COVID health impact, strict rules of infectious control have been executed. When considering the resumption of clinical education to students, the issue of everyone’s safety, students’ learning experience, fulfilling the intended learning outcomes, and most importantly, meeting the criteria of professional licensure registration must be balanced. Given the urgency, the clinical education team had reviewed the key intended learning outcomes of clinical education in the existing curriculum and revamped the content by including concepts of effective learning and blended strategies. A new model—“Blended Clinical Education”—a combination of face-to-face and online modes was established. To ensure successful launch of the new model, numerous briefings with students, clinical educators, faculty members and licensure registration board were organized for easing their stress. With all colleagues’ efforts, students finally graduated in time and joined the healthcare system providing urgent supply of manpower.
FCN-Transformer Feature Fusion for Polyp Segmentation
Authors: Sanderson Edward , Matuszewski Bogdan J. 
Published: July 2022

AbstractColonoscopy is widely recognised as the gold standard procedure for the early detection of colorectal cancer (CRC). Segmentation is valuable for two significant clinical applications, namely lesion detection and classification, providing means to improve accuracy and robustness. The manual segmentation of polyps in colonoscopy images is time-consuming. As a result, the use of deep learning (DL) for automation of polyp segmentation has become important. However, DL-based solutions can be vulnerable to overfitting and the resulting inability to generalise to images captured by different colonoscopes. Recent transformer-based architectures for semantic segmentation both achieve higher performance and generalise better than alternatives, however typically predict a segmentation map of $$\frac{h}{4}\times \frac{w}{4}$$ spatial dimensions for a $$h\times w$$ input image. To this end, we propose a new architecture for full-size segmentation which leverages the strengths of a transformer in extracting the most important features for segmentation in a primary branch, while compensating for its limitations in full-size prediction with a secondary fully convolutional branch. The resulting features from both branches are then fused for final prediction of a $$h\times w$$ segmentation map. We demonstrate our method’s state-of-the-art performance with respect to the mDice, mIoU, mPrecision, and mRecall metrics, on both the Kvasir-SEG and CVC-ClinicDB dataset benchmarks. Additionally, we train the model on each of these datasets and evaluate on the other to demonstrate its superior generalisation performance.Code available: https://github.com/CVML-UCLan/FCBFormer.
Retinoschisin and novel Na/K-ATPase interaction partners Kv2.1 and Kv8.2 define a growing protein complex at the inner segments of mammalian photoreceptors
Authors: Schmid Verena , Wurzel Alexander , Wetzel Christian H. , Plössl Karolina , Bruckmann Astrid , Luckner Patricia , Weber Bernhard H. F. , Friedrich Ulrike 
Published: July 2022

AbstractThe RS1 gene on Xp 22.13 encodes retinoschisin which is known to directly interact with the retinal Na/K-ATPase at the photoreceptor inner segments. Pathologic mutations in RS1 cause X-linked juvenile retinoschisis (XLRS), a hereditary retinal dystrophy in young males. To further delineate the retinoschisin-Na/K-ATPase complex, co-immunoprecipitation was performed with porcine and murine retinal lysates targeting the ATP1A3 subunit. This identified the voltage-gated potassium (Kv) channel subunits Kv2.1 and Kv8.2 as direct interaction partners of the retinal Na/K-ATPase. Colocalization of the individual components of the complex was demonstrated at the membrane of photoreceptor inner segments. We further show that retinoschisin-deficiency, a frequent consequence of molecular pathology in XLRS, causes mislocalization of the macromolecular complex during postnatal retinal development with a simultaneous reduction of Kv2.1 and Kv8.2 protein expression, while the level of retinal Na/K-ATPase expression remains unaffected. Patch-clamp analysis revealed no effect of retinoschisin-deficiency on Kv channel mediated potassium ion currents in vitro. Together, our data suggest that Kv2.1 and Kv8.2 together with retinoschisin and the retinal Na/K-ATPase are integral parts of a macromolecular complex at the photoreceptor inner segments. Defective compartmentalization of this complex due to retinoschisin-deficiency may be a crucial step in initial XLRS pathogenesis.
Multi-locus genome-wide association studies reveal novel alleles for flowering time under vernalisation and extended photoperiod in a barley MAGIC population
Authors: Dang Viet Hoang , Hill Camilla Beate , Zhang Xiao-Qi , Angessa Tefera Tolera , McFawn Lee-Anne , Li Chengdao 
Published: July 2022

Abstract
Key message
Key genes controlling flowering and interactions of different photoperiod alleles with various environments were identified in a barley MAGIC population. A new candidate gene for vernalisation requirements was also detected.

Abstract
Optimal flowering time has a major impact on grain yield in crop species, including the globally important temperate cereal crop barley (Hordeum vulgare L.). Understanding the genetics of flowering is a key avenue to enhancing yield potential. Although bi-parental populations were used intensively to map genes controlling flowering, their lack of genetic diversity requires additional work to obtain desired gene combinations in the selected lines, especially when the two parental cultivars did not carry the genes. Multi-parent mapping populations, which use a combination of four or eight parental cultivars, have higher genetic and phenotypic diversity and can provide novel genetic combinations that cannot be achieved using bi-parental populations. This study uses a Multi-parent advanced generation intercross (MAGIC) population from four commercial barley cultivars to identify genes controlling flowering time in different environmental conditions. Genome-wide association studies (GWAS) were performed using 5,112 high-quality markers from Diversity Arrays Technology sequencing (DArT-seq), and Kompetitive allele-specific polymerase chain reaction (KASP) genetic markers were developed. Phenotypic data were collected from fifteen different field trials for three consecutive years. Planting was conducted at various sowing times, and plants were grown with/without additional vernalisation and extended photoperiod treatments. This study detected fourteen stable regions associated with flowering time across multiple environments. GWAS combined with pangenome data highlighted the role of CEN gene in flowering and enabled the prediction of different CEN alleles from parental lines. As the founder lines of the multi-parental population are elite germplasm, the favourable alleles identified in this study are directly relevant to breeding, increasing the efficiency of subsequent breeding strategies and offering better grain yield and adaptation to growing conditions.
Co-prescription of metoprolol and CYP2D6-inhibiting antidepressants before and after implementation of an optimized drug interaction database in Norway
Authors: Gedde-Dahl Ane , Spigset Olav , Molden Espen 
Published: July 2022

Abstract

Purpose
To compare the co-prescription of metoprolol and potent CYP2D6-inhibiting antidepressants before and during a 10-year period after implementation of an optimized drug interaction database into clinical decision support systems in Norway.

Methods
The study was a retrospective, cross-sequential nationwide analysis of drug-dispensing data retrieved from the Norwegian Prescription Database over a 1-year period before (2007) and two 1-year periods after (2012 and 2017) implementation of a drug interaction database providing recommendations on non-interacting alternative medications. Primary outcome was changes in co-prescription rates of metoprolol and the potent CYP2D6-inhibiting antidepressants fluoxetine, paroxetine, or bupropion relative to alternative antidepressants with no or limited CYP2D6 inhibitory potential. To control for potential secular trend bias, a comparison group consisting of atenolol/bisoprolol users was included.

Results
The co-prescription rate of metoprolol with potent CYP2D6 inhibitors declined following implementation of the optimized database, by 21% (P < 0.001) after 5 years and by 40% (P < 0.001) after 10 years. Compared with atenolol/bisoprolol users, patients treated with metoprolol had significantly reduced likelihood of being prescribed a CYP2D6-inhibiting antidepressant in the two post-implementation periods (OR 0.61 (95% CI 0.54–0.69) and OR 0.45 (95% CI 0.40–0.51), respectively, versus OR 0.84 (95% CI 0.74–0.94) prior to implementation). Small and mostly insignificant differences in average daily metoprolol dosage were found between patients treated with the various antidepressants.

Conclusion
The present study suggests that implementation of a drug interaction database providing recommendations on non-interacting drug alternatives contributes to reduced co-prescribing of drug combinations associated with potentially serious adverse effects.
Plasma biomarkers inclusive of α-synuclein/amyloid-beta40 ratio strongly correlate with Mini-Mental State Examination score in Parkinson’s disease and predict cognitive impairment
Authors: Chan Daniel Kam Yin , Chen Jack , Chen Ren Fen , Parikh Jayesh , Xu Ying Hua , Silburn Peter A. , Mellick George D. 
Published: July 2022

AbstractPlasma biomarkers for Parkinson’s disease (PD) diagnosis that carry predictive value for cognitive impairment are valuable. We explored the relationship of Mini-Mental State Examination (MMSE) score with plasma biomarkers in PD patients and compared results to vascular dementia (VaD) and normal controls. The predictive accuracy of an individual biomarker on cognitive impairment was evaluated using area under the receiver operating characteristic curve (AUROC), and multivariate logistic regression was applied to evaluate predictive accuracy of biomarkers on cognitive impairment; 178 subjects (41 PD, 31 VaD and 106 normal controls) were included. In multiple linear regression analysis of PD patients, α-synuclein, anti-α-synuclein, α-synuclein/Aβ40 and anti-α-synuclein/Aβ40 were highly predictive of MMSE score in both full model and parsimonious model (R2 = 0.838 and 0.835, respectively) compared to non-significant results in VaD group (R2 = 0.149) and in normal controls (R2 = 0.056). Α-synuclein and anti-α-synuclein/Aβ40 were positively associated with MMSE score, and anti-α-synuclein, α-synuclein/Aβ40 were negatively associated with the MMSE score among PD patients (all Ps < 0.005). In the AUROC analysis, anti-α-synuclein (AUROC = 0.788) and anti-α-synuclein/Aβ40 (AUROC = 0.749) were significant individual predictors of cognitive impairment. In multivariate logistic regression, full model of combined biomarkers showed high accuracy in predicting cognitive impairment (AUROC = 0.890; 95%CI 0.796–0.984) for PD versus controls, as was parsimonious model (AUROC = 0.866; 95%CI 0.764–0.968). In conclusion, simple combination of biomarkers inclusive of α-synuclein/Aβ40 strongly correlates with MMSE score in PD patients versus controls and is highly predictive of cognitive impairment.
Energiekostenoptimierung unter Berücksichtigung des Energiemarktes
Authors: Herrmann Lutz 
Published: July 2022

ZusammenfassungEine ausführliche Energiemarktanalyse veranschaulicht die Zusammenhänge der einzelnen Commodities (Rohöl, Kohle, Erdgas) bezüglich Preisentwicklung und somit den Einfluss auf den Strompreis (elektrische Energie) bei der Beschaffung. Der Autor kommt zu dem Schluss, dass eine auf das Unternehmen abgestimmte Beschaffungsstrategie eine wesentliche Voraussetzung für den Unternehmenserfolg ist.