bluuebunny/crossref_metadata_2025_split huggingface dataset:
Same-site trabeculectomy with mitomycin and Ologen™ following failed non-penetrating deep sclerectomy
Authors: Muñoz-Negrete FJ , Aguado-Casanova V , Huelin FJ , Rebolleda G 
Published: August 2022

Purpose To assess the effectiveness and safety of same-site trabeculectomy (TRAB) with mitomycin C (MMC) and Ologen™ (Aeon Astron Europe BV. Leiden, The Netherlands) in patients with a failed non-penetrating deep sclerectomy (NPDS). Methods A retrospective study of 24 consecutive eyes (22 patients) undergoing reintervention by same-site TRAB with at least one-year follow-up after failed NPDS. Mean visual acuity (VA), intraocular pressure (IOP) and use of glaucoma medications were compared before and one year after surgery. Early and late postoperative complications were registered. Kaplan-Meier survival analysis was performed according to four levels of success criteria. Results Overall the mean IOP reduced significantly (24.9 ± 7.1 vs. 14.4 ± 4.5 mmHg; p < 0.001), and the number of glaucoma medications (2.80 ± 1.01 vs. 0.55 ± 0.94; p < 0.001) significantly decreased, one year after surgery. The mean VA remained stable one year after surgery ( p = 0.516). Hypotony, defined as IOP ≤ 5 mmHg, in the early postoperative period was observed in 62.5% of eyes, but only in 2 patients (8.33%) in the long term. The mean survival time ranged from 10 months (CI 95% 5–15) to 29 months (CI 95%: 26–32) according to the most stringent and lenient success criteria respectively. Conclusion Same-site TRAB augmented with MMC and Ologen™ may provide an effective, safe and lasting alternative following failed NPDS, especially when sparing of the conjunctiva is highly desirable. Postoperative hypotony is the most common postoperative complication.
Influence of Evidence-Based Design Strategies on Nurse Wellness
Authors: Raj Minakshi , Jimenez Francesqca E. , Rich Renae K. , Okland Kathy , Roy Lonnie , Opollo Jackline , Rogers Juliet , Brittin Jeri 
Published: August 2022

Objectives: The purpose of this study was to understand how specific evidence-based design strategies are related to aspects of nurse wellness. Background: Addressing burnout among the healthcare workforce is a system-level imperative. Nurses face continuous and dynamic physical and emotional demands in their role. Greater insight into the role of the physical environment can support efforts to promote nurse wellness. Methods: This exploratory qualitative study was conducted at new Parkland Hospital in Dallas, TX. We conducted five focus groups with nursing staff in July 2018. These sessions covered five topics related to nursing work in the facility which had been redesigned nearly 3 years earlier: (1) professional and social communication, (2) workflow and efficiency, (3) nurses’ tasks and documentation, (4) ability to care for patients, and (5) nurses’ overall health. We conducted a thematic analysis and first identified different aspects of wellness discussed by participants. Then, we examined how nurses related different design elements to different aspects of their wellness. Results: Participants included 63 nurses and nurse managers. They related environmental factors including facility size, break rooms, and decentralized workstations to social, emotional/spiritual, physical, intellectual, and occupational aspects of wellness. Conclusions: It is critical to inform and integrate nurses at all levels into planning, design, and activation of new healthcare environments in order to ensure the well-being of nurses and, therefore, their ability to effectively support patients.
Associated factors of potential drug-drug interactions and drug–food interactions in patients with multiple sclerosis
Authors: Debus Jane Louisa , Bachmann Paula , Frahm Niklas , Mashhadiakbar Pegah , Langhorst Silvan Elias , Streckenbach Barbara , Baldt Julia , Heidler Felicita , Hecker Michael , Zettl Uwe Klaus 
Published: August 2022

Background: Multiple sclerosis (MS) is the most common immune-mediated demyelinating disease in younger adults. Patients with MS (PwMS) are vulnerable to the presence of potential drug–drug interactions (pDDIs) and potential drug–food interactions (pDFIs) as they take numerous medications to treat MS, associated symptoms and comorbidities. Knowledge about pDDIs and pDFIs can increase treatment success and reduce side effects. Objective: We aimed at determining the frequency and severity of pDDIs and pDFIs in PwMS, with regard to polypharmacy. Methods: In the cross-sectional study, we analysed pDDIs and pDFIs of 627 PwMS aged ⩾18 years. Data collection was performed through patient record reviews, clinical examinations and structured patient interviews. pDDIs and pDFIs were identified using two DDI databases: Drugs.com Interactions Checker and Stockley’s Interactions Checker. Results: We identified 2587 pDDIs (counted with repetitions). Of 627 PwMS, 408 (65.1%) had ⩾ 1 pDDI. Polypharmacy (concomitant use of ⩾ 5 drugs) was found for 334 patients (53.3%). Patients with polypharmacy (Pw/P) were found to have a 15-fold higher likelihood of having ⩾ 1 severe pDDI compared with patients without polypharmacy (Pw/oP) (OR: 14.920, p < 0.001). The most frequently recorded severe pDDI was between citalopram and fingolimod. Regarding pDFIs, ibuprofen and alcohol was the most frequent severe pDFI. Conclusion: Pw/P were particularly at risk of severe pDDIs. Age and educational level were found to be factors associated with the occurrence of pDDIs, independent of the number of medications taken. Screening for pDDIs/pDFIs should be routinely done by the clinical physician to increase drug safety and reduce side effects.
Applying knowledge translation frameworks, approaches and principles to co-create a dissemination plan: Optimizing the spread of a pediatric concussion guideline
Authors: Provvidenza Christine , Kingsnorth Shauna , Dawson Jennifer , Ledoux Andree-Anne , Zemek Roger , Reed Nick 
Published: August 2022

Background Clinical practice guidelines are evidence-based statements that assist healthcare professionals with improving patient care. Achieving guideline aims depends on successful knowledge translation (KT) and includes dissemination and implementation efforts. Dissemination efforts are important precursors to implementation, help to maximize awareness and reach of best practices, and prepare for evidence adoption. This article shares the application of KT frameworks, approaches and principles in the creation of a dissemination plan and KT products for the Living Guideline for Pediatric Concussion Care. The target audience for dissemination are healthcare professionals delivering clinical care to patients between 5–18 years. Methods Guided by the Framework for Knowledge Transfer and an integrated KT (iKT) approach, 46 concussion experts participated in an iKT workshop and knowledge board activity to: 1) establish a Living Guideline dissemination plan; 2) identify products to share the Living Guideline; and, 3) prepare for Living Guideline implementation planning. Post-workshop, a snowball approach invited knowledge users including educators and youth/young adults with lived experience in concussion via interviews and focus groups, to expand upon the dissemination plan and recommended products. Results The dissemination plan yielded a reach of nearly 42,000 Living Guideline page views from September, 2019-January, 2022. Dissemination efforts included 13 multi-media interviews, over 40 activities (e.g. webinars), and 28 engagement emails to help raise awareness. Eight KT products were developed to foster sharing and use of the Living Guideline, with over 3000 downloads across all KT products. Conclusions Applying an iKT approach alongside appropriate frameworks and principles allowed for interaction and partnership building, resulting in the development of a robust dissemination plan and essential KT products. By showing the breadth and impact of the KT activities undertaken, it is hoped that the concussion community will explore how KT practices can bolster efforts to drive evidence into practice and optimize concussion care.
Sensitisation to recombinantAspergillus fumigatusallergens and clinical outcomes in COPD
Authors: Tiew Pei Yee , Narayana Jayanth Kumar , Quek Marilynn Swee Li , Ang Yan Ying , Ko Fanny Wai San , Poh Mau Ern , Jaggi Tavleen Kaur , Xu Huiying , Thng Kai Xian , Koh Mariko Siyue , Tee Augustine , Hui David Shu Cheong , Abisheganaden John Arputhan , Tsaneva-Atanasova Krasimira , Chew Fook Tim , Chotirmall Sanjay H. 
Published: August 2022

BackgroundVariable clinical outcomes are reported with fungal sensitisation in chronic obstructive pulmonary disease (COPD), and it remains unclear which fungi and what allergens associate with the poorest outcomes. The use of recombinant as opposed to crude allergens for such assessment is unknown.MethodsA prospective multicentre assessment of stable COPD (n=614) was undertaken in five hospitals across three countries: Singapore, Malaysia and Hong Kong. Clinical and serological assessment was performed against a panel of 35 fungal allergens including crude and recombinantAspergillusand non-Aspergillusallergens. Unsupervised clustering and topological data analysis (TDA) approaches were employed using the measured sensitisation responses to elucidate if sensitisation subgroups exist and their related clinical outcomes.ResultsAspergillus fumigatussensitisation was associated with increased exacerbations in COPD. Unsupervised cluster analyses revealed two “fungal sensitisation” groups. The first was characterised byAspergillussensitisation and increased exacerbations, poorer lung function and worse prognosis. Polysensitisation in this group conferred even poorer outcome. The second group, characterised byCladosporiumsensitisation, was more symptomatic. Significant numbers of individuals demonstrated sensitisation responses to only recombinant (as opposed to crude)A. fumigatusallergens f 1, 3, 5 and 6, and exhibited increased exacerbations, poorer lung function and an overall worse prognosis. TDA validated these findings and additionally identified a subgroup withinAspergillus-sensitised COPD of patients with frequent exacerbations.ConclusionAspergillussensitisation is a treatable trait in COPD. Measuring sensitisation responses to recombinantAspergillusallergens identifies an important patient subgroup with poor COPD outcomes that remains overlooked by assessment of only crudeAspergillusallergens.
Airway pathogens detected in stable and exacerbated COPD in patients in Asia-Pacific
Authors: Taddei Laura , Malvisi Lucio , Hui David S. , Malvaux Ludovic , Samoro Ronnie Z. , Lee Sang Haak , Yeung Yiu Cheong , Liu Yu-Chih , Arora Ashwani Kumar 
Published: August 2022

BackgroundThe burden of chronic obstructive pulmonary disease (COPD) in the Asia-Pacific region is projected to increase. Data from other regions show bacterial and viral infections can trigger acute exacerbations of COPD (AECOPD).MethodsThis 1-year prospective epidemiological study (ClinicalTrials.gov identifier:NCT03151395) of patients with moderate to very severe COPD in Hong Kong, the Philippines, South Korea and Taiwan assessed the prevalence in sputum samples (by culture and PCR) of bacterial and viral pathogens during stable COPD and AECOPD. The odds of experiencing an exacerbation was evaluated for pathogen presence, acquisition and apparition. Health-related quality of life (HRQOL) was assessed.Results197 patients provided 983 sputum samples, with 226 provided during exacerbation episodes. The mean yearly AECOPD incidence rate was 1.27 per patient. The most prevalent bacteria by PCR at exacerbation wereHaemophilus influenzae(Hi) andMoraxella catarrhalis(Mcat); Mcat prevalence was higher at exacerbation than at stable state. Virus prevalence was low, other than for human rhinovirus (HRV) (8.1%, stable state; 16.6%, exacerbation). The odds ratio (95% CI) for an exacerbation (versusstable state) was statistically significant for the presence, acquisition and apparition of Hi (2.20, 1.26–3.89; 2.43, 1.11–5.35; 2.32, 1.20–4.46, respectively), Mcat (2.24, 1.30–3.88; 5.47, 2.16–13.86; 3.45, 1.71–6.98, respectively) and HRV (2.12, 1.15–3.91; 2.22, 1.09–4.54; 2.09, 1.11–3.91, respectively). HRQOL deteriorated according to the number of exacerbations experienced.ConclusionIn patients with COPD in the Asia-Pacific region, the presence of Hi, Mcat or HRV in sputum samples significantly increased the odds of an exacerbation, providing further evidence of potential roles in triggering AECOPD.
All-cause admissions following a first ever exacerbation-related hospitalisation in COPD
Authors: Waeijen-Smit Kiki , Jacobsen Peter A. , Houben-Wilke Sarah , Simons Sami O. , Franssen Frits M.E. , Spruit Martijn A. , Pedersen Christian T. , Kragholm Kristian H. , Weinreich Ulla M. 
Published: August 2022

BackgroundHospital admissions are important contributors to the overall burden of chronic obstructive pulmonary disease (COPD). Understanding the patterns and causes of hospital admissions will help to identify targets for preventive interventions. This study aimed to determine the 5-year all-cause hospital admission trajectories of patients with COPD following their first ever exacerbation-related hospitalisation.MethodsPatients with COPD were identified from the Danish national registries. Patients experiencing their first ever exacerbation-related hospitalisation, defined as the index event, between 2000 and 2014 were included. All-cause hospital admissions were examined during a subsequent 5-year follow-up period, and categorised using the International Classification of Diseases, 10th revision.ResultsIn total, 82 964 patients with COPD were included. The mean±sdage was 72±10 years and 48% were male. Comorbidities were present in 58%, and 65% of the patients collected inhalation medication ≤6 months prior to the index event. In total, 337 066 all-cause hospital admissions were identified, resulting in a 5-year admission rate of 82%. Most admissions were due to nonrespiratory causes (59%), amongst which cardiac events were most common (19%).ConclusionHospital admissions following a first exacerbation-related hospitalisation are common; nonrespiratory events constitute the majority of admissions. Besides the respiratory causes, treatment targeting the nonrespiratory causes of hospital admission should be considered to effectively decrease the burden of hospitalisation in COPD.
Size-Dependent Magnetic and Magneto-Optical Properties of Bi-Doped Yttrium Iron Garnet Nanopowders
Authors: Spivakov Aleksandr , Lin Chun-Rong , Tsai Chang-Yen , Chen Ying-Zhen 
Published: August 2022

AbstractBi-doped yttrium iron garnet nanopowders were successfully synthesized by a combustion method at different synthesis conditions, and the evolution of their structural, magnetic, and magneto-optical properties has been studied by various methods. X-ray diffraction analysis revealed that crystallite size increases with increase as in annealing time (tA) well as in annealing temperature (TA) and varied from 15.2 nm (TA = 650 °C, tA = 0.5 h) to 44.5 nm (TA = 800 °C, tA = 12 h). The magnetic hysteresis loops exhibit behavior characteristic of soft magnetic materials; herewith, the saturation magnetization demonstrates a growing trend with increasing crystallite size (D). The behavior of the coercivity indicates that, at room temperature, the transition between single-domain and multidomain states occurs at D = 35.3 nm. It was found that the size effect in the MCD spectra is clearly observed for the samples with crystallite sizes less than 42.2 nm for an intersublattice charge-transfer transition and a crystal-field tetrahedral transition. The influence of cation redistribution on the observed changes has been discussed.
Synthesis of Novel Triphenylamine-Based Organic Dyes with Dual Anchors for Efficient Dye-Sensitized Solar Cells
Authors: Mahmoud Samar E. , Fadda Ahmed A. , Abdel-Latif Ehab , Elmorsy Mohamed R. 
Published: August 2022

AbstractA new series of metal-free organic dyes (SM1-5) with dual anchors are synthesized for application in dye-sensitized solar cells (DSSC). Here, a simple triphenylamine (TPA) moiety serves as the electron donor, while di-cyanoacrylamide and di-thiazolidine-5-one units serve as the electron acceptors and anchoring groups. To understand the effect of dye structure on the photovoltaic characteristics of DSSCs, the photophysical and electrochemical properties, as well as molecular geometries calculated from density functional theory (DFT), are used for dyes SM1-5. The extinction coefficients of the organic dyes SM1-5 are high (5.36–9.54 104 M−1 cm−1), indicating a high aptitude for light harvesting. The photovoltaic studies indicated that using dye SM4 as a sensitizer showed a power conversion efficiency (PCE) of 6.09% (JSC = 14.13 mA cm−2, VOC = 0.624 V, FF = 68.89%). Interestingly, SM4 showed the highest values of VOC among all dyes, including N-719, due to its maximum dye coverage on the TiO2 surface, enhancing charge recombination resistance in the sensitized cell. The good agreement between the theoretically and experimentally obtained data indicates that the energy functional and basis set employed in this study can be successfully utilized to predict new photosensitizers' absorption spectra with great precision before synthesis. Also, these results show that bi-anchoring molecules have a lot of potentials to improve the overall performance of dye-sensitized solar cells.
ImputAccur: fast and user-friendly calculation of genotype-imputation accuracy-measures
Authors: Thormann Kolja A. , Tozzi Viola , Starke Paula , Bickeböller Heike , Baum Marcus , Rosenberger Albert 
Published: August 2022

Abstract
Background
ImputAccur is a software tool to measure genotype-imputation accuracy. Imputation of untyped markers is a standard approach in genome-wide association studies to close the gap between directly genotyped and other known DNA variants. However, high accuracy for imputed genotypes is fundamental. Several accuracy measures have been proposed, but unfortunately, they are implemented on different platforms, which is impractical.

Results
With ImputAccur, the accuracy measures info, Iam-hiQ and r2-based indices can be derived from standard output files of imputation software. Sample/probe and marker filtering is possible. This allows e.g. accurate marker filtering ahead of data analysis.

Conclusions
The source code (Python version 3.9.4), a standalone executive file, and example data for ImputAccur are freely available at https://gitlab.gwdg.de/kolja.thormann1/imputationquality.git.
DCSE:Double-Channel-Siamese-Ensemble model for protein protein interaction prediction
Authors: Chen Wenqi , Wang Shuang , Song Tao , Li Xue , Han Peifu , Gao Changnan 
Published: August 2022

Abstract
Background
Protein-protein interaction (PPI) is very important for many biochemical processes. Therefore, accurate prediction of PPI can help us better understand the role of proteins in biochemical processes. Although there are many methods to predict PPI in biology, they are time-consuming and lack accuracy, so it is necessary to build an efficiently and accurately computational model in the field of PPI prediction.

Results
We present a novel sequence-based computational approach called DCSE (Double-Channel-Siamese-Ensemble) to predict potential PPI. In the encoding layer, we treat each amino acid as a word, and map it into an N-dimensional vector. In the feature extraction layer, we extract features from local and global perspectives by Multilayer Convolutional Neural Network (MCN) and Multilayer Bidirectional Gated Recurrent Unit with Convolutional Neural Networks (MBC). Finally, the output of the feature extraction layer is then fed into the prediction layer to output whether the input protein pair will interact each other. The MCN and MBC are siamese and ensemble based network, which can effectively improve the performance of the model. In order to demonstrate our model’s performance, we compare it with four machine learning based and three deep learning based models. The results show that our method outperforms other models in all evaluation criteria. The Accuracy, Precision, $$F_{1}$$

F
1

, Recall and MCC of our model are 0.9303, 0.9091, 0.9268, 0.9452, 0.8609. For the other seven models, the highest Accuracy, Precision, $$F_{1}$$

F
1

, Recall and MCC are 0.9288, 0.9243, 0.9246, 0.9250, 0.8572. We also test our model in the imbalanced dataset and transfer our model to another species. The results show our model is excellent.

Conclusion
Our model achieves the best performance by comparing it with seven other models. NLP-based coding method has a good effect on PPI prediction task. MCN and MBC extract protein sequence features from local and global perspectives and these two feature extraction layers are based on siamese and ensemble network structures. Siamese-based network structure can keep the features consistent and ensemble based network structure can effectively improve the accuracy of the model.
High-frequency repetitive transcranial magnetic stimulation (rTMS) protects against ischemic stroke by inhibiting M1 microglia polarization through let-7b-5p/HMGA2/NF-κB signaling pathway
Authors: Hong Ye , Lyu Jinfeng , Zhu Lin , Wang Xixi , Peng Mengna , Chen Xiangliang , Deng Qiwen , Gao Jie , Yuan Zhenhua , Wang Di , Xu Gelin , Xu Mengyi 
Published: August 2022

Abstract
Background
Microglia assume opposite phenotypes in response to ischemic brain injury, exerting neurotoxic and neuroprotective effects under different ischemic stages. Modulating M1/M2 polarization is a potential therapy for treating ischemic stroke. Repetitive transcranial magnetic stimulation (rTMS) held the capacity to regulate neuroinflammation and astrocytic polarization, but little is known about rTMS effects on microglia. Therefore, the present study aimed to examine the rTMS influence on microglia polarization and the underlying possible molecular mechanisms in ischemic stroke models.

Methods
Previously reported 10 Hz rTMS protocol that regulated astrocytic polarization was used to stimulate transient middle cerebral artery occlusion (MCAO) rats and oxygen and glucose deprivation/reoxygenation (OGD/R) injured BV2 cells. Specific expression levels of M1 marker iNOS and M2 marker CD206 were measured by western blotting and immunofluorescence. MicroRNA expression changes detected by high-throughput second-generation sequencing were validated by RT-PCR and fluorescence in situ hybridization (FISH) analysis. Dual-luciferase report assay and miRNA knock-down were applied to verify the possible mechanisms regulated by rTMS. Microglia culture medium (MCM) from different groups were collected to measure the TNF-α and IL-10 concentrations, and detect the influence on neuronal survival. Finally, TTC staining and modified Neurological Severity Score (mNSS) were used to determine the effects of MCM on ischemic stroke volume and neurological functions.

Results
The 10 Hz rTMS inhibited ischemia/reperfusion induced M1 microglia and significantly increased let-7b-5p level in microglia. HMGA2 was predicted and proved to be the target protein of let-7b-5p. HMGA2 and its downstream NF-κB signaling pathway were inhibited by rTMS. Microglia culture medium (MCM) collected from rTMS treated microglia contained lower TNF-α concentration but higher IL-10 concentration than no rTMS treated MCM, reducing ischemic volumes and neurological deficits of MCAO mice. However, knockdown of let-7b-5p by antagomir reversed rTMS effects on microglia phenotype and associated HMGA/NF-κB activation and neurological recovery.

Conclusion
High-frequency rTMS could alleviate ischemic stroke injury through inhibiting M1 microglia polarization via regulating let-7b-5p/HMGA2/NF-κB signaling pathway in MCAO models.