bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reach, Adoption and Sustainability of a Mobile Clinical Decision Support Tool Paired with a National Quality Improvement Project Targeting Emergency Department Febrile Infant Management
Authors: Kerns Ellen K , McCulloh Russell , Dai Hongying 
Published: December 2020

Abstract
Background: Electronic clinical decision support (ECDS) tools are often developed within quality improvement (QI) projects to increase adherence with the latest clinical practice guidelines (CPGs).However, scalability and sustainability of ECDS beyond the time and location of their associated project are very limited. Deploying ECDS using a mobile app (mECDS) has shown the potential to be a viable method of overcoming these limitations. However, it is unclear what pattern the spread of uptake and use of such a tool might follow.Methods: In 2016, our team released a freely available mECDS as part of a national multi-site project entitled Reducing Variation in Infant Sepsis Evaluation (REVISE). For this study, we evaluated trends in weekly mECDS usage measures defined as 1) REVISE metric related screen views (MetricHits), 2) unique designated market areas (DMA) where the mECDS was used (Unique DMAs), 3) density of use or MetricHits/Unique DMAs (HitsPerDMA). Linear regressions were performed to examine the app usage trends measures across three time periods (during REVISE, 1-year post, 2-year post). Separate regression analyses were performed among DMAs that contained a REVISE site and those that did not. The number of REVISE sites in the DMA, the number of children’s hospitals in the DMA, DMA population, and season were also evaluated as confounding factors.Results: Strong growth in the number of unique DMAs and MetricHits occurred during the period of 1-year post the REVISE project. The overall usage continued to be relatively stable during the period of 2-years post. HitsPerDMA had stronger growth in DMAs with a REVISE site than those without. MetricHits were higher in DMAs with a larger population, more REVISE sites, and more children’s hospitals. There were also more MetricHits in the summer than in the winter months. Conclusions: Both temporal and spatial increases in mECDS app usage were found as evidence of a contagion method of spread. Other confounding factors may also play a role in app reach, adoption, and sustainability. Further research is needed to determine the factors driving passive diffusion and its impact on clinical practice and patient outcomes.
Swadapt1: Assessment of an Electric Wheelchair-driving Robotic Module in Standarized Circuits: A Prospective, Controlled, and Randomized Pilot Study
Authors: Leblong Emilie , Fraudet Bastien , Devigne Louise , Babel Marie , Pasteau François , Nicolas Benoit , Gallien Philippe 
Published: December 2020

Abstract
ObjectivesThe objective of this study is to highlight the effect of a robotic driver assistance module of Powered Wheelchair (PWC), using infrared sensors and accessorizing a commercial wheelchair) on the reduction of the number of collisions in standardized circuit in a population with neurological disorders by comparing driving performance with and without assistance.MethodsThis is a prospective, single-center, controlled, randomized, single-blind pilot study including patients with neurological disabilities who are usual drivers of electric wheelchairs. The main criterion for evaluating the device is the number of collisions with and without the assistance of a prototype anti-collision system on 3 circuits of increasing complexity. Travel times, cognitive load, driving performance, and user satisfaction are also analyzed.Results23 patients completed the study. There was a statistically significant reduction in the number of collisions on the most complex circuit.ConclusionThis study concludes that the PWC driving assistance module is efficient in terms of safety without reducing the speed of movement in a population of people with disabilities who are habitual wheelchair drivers. The prospects are therefore to conduct tests on a target population with driving failure or difficulty who could benefit from this device so as to allow them to travel independently and safely.
Sexual Dysfunction After Traumatic Injury Corrected by Transcranial Magnetic Stimulation: A Case Report
Authors: Wang Xin , Kang Yue-ting , Li Xin-yi , Liu Wei , Liu Zhong-liang , Zheng Bin , Duan Xiao-qin 
Published: December 2020

Abstract
Background: Neurogenic sexual dysfunction (NSD) is a common problem in patients after spinal and pelvic trauma. New treatment is needed beyond medicine or psychological therapies. This study probes the potential for using repetitive transcranial magnetic stimulation (rTMS) for NSD rehabilitation, the insights of which can inform further research.Methods: In a 24-year-old man who fell from six floor building, with multiple spinal and pelvic injuries, we used rTMS to treat his subsequent NSD. The therapy lasted for 3 months. Motor and sensory conductivities, as well as sexual function, were evaluated before and after the treatment.Results: The rTMS regimen produced satisfactory improvement on patient’s nerve conductivities and sexual activity. Improvements in sexual function were confirmed at 1-year follow-up. Conclusions: rTMS delivered a positive treatment to this patient with NSD. Potential mechanisms by which rTMS regulate sexual function need to be further investigated.
Transcriptome Analysis Revealed the Regulation of Gibberellin and the Establishment of Photosynthetic System Promote Rapid Seed Germination and Early Growth of Seedling in Pearl Millet
Authors: Wu Bingchao , Sun Min , Zhang Huan , Yang Dan , Lin Chuang , Khan Imran , Wang Xiaoshan , Zhang Xinquan , Nie Gang , Feng Guangyan , Yan Yanhong , Li Zhou , Peng Yan , Huang Linkai 
Published: December 2020

Abstract
Background：Seed germination is the most important stage for the formation of a new plant. This process starts when the dry seeds begin to absorb water and ends when the radicles sticks out. The germination rate of different plant seeds varies differently. Most energy plants that usually grow on marginal land, the rapid germination of seeds is more conducive to its superiority in competition with surrounding plants, which is also the guarantee of normal plant development and high yield. Pearl millet is an important cereal crop that shares widespread applications in the world. It has the advantages of fast growth, high yield, and low maintenance cost. It can also be used to extract bioethanol to solve the increasingly prominent energy problems. Previous germination experiments are the evidence of very fast seed germination rate of pearl millet, but the molecular mechanisms behind it is still unclear.Results: Through the germination test and the measurement of the germs and radicles length of the seedlings, we found that pearl millet seeds germinated very quickly after 24 hours of swelling of the dry seeds. By using transcriptome sequencing technology, we characterized the gene expression patterns of dry seeds, water imbibed seeds, germs and radicles of seedlings, and found the more DEGs in radicles than germs. Further analysis showed that different genome clusters function specifically at different tissues and time periods. WGCNA and KEGG enrichment analysis showed that that many genes that positively regulate plant growth and development are highly enriched and expressed, especially the gibberellin signaling pathway that can promote seed germination. We speculated that the activation of these key genes promotes the germination of pearl millet seeds and the growth of seedlings. To verify this inference, we measured the content of the main effect hormone gibberellin and found that the gibberellin content after seed imbibition rose sharply and remained at a high level.Conclusions：This study explored the expression patterns of genes involved in pearl millet growth from the germination of dry seeds to the early growth stages. Also identifies the key genes involved in the regulation of seed germination and seedling growth. The activation of key genes in these pathways may contribute to the rapid germination and growth of seeds and seedlings in pearl millet. These results provide new insights to solve the problem for the plants with slow seed germination and seedling growth.
Fabrication and Characterization of Black GaAs&nbsp;Nanoarrays via ICP&nbsp;Etching
Authors: Ma Jing , Zhao Yongqiang , Liu Wen , Yang Fuhua , Wang Xiaodong 
Published: December 2020

Abstract
GaAs nanostructures has attracted more and more attention due to its excellent properties such as increasing photon absorption. The fabrication process on GaAs substrate were rarely reported and most of the preparation processes are complex. Here, we reported a black GaAs fabrication process using a simple Inductively coupled plasma (ICP) etching process，with no extra lithography process. The fabricated sample has a low Reflectance value，close to zero. Besides, the black GaAs also displayed hydrophobic property, with a water contact angle (CA) of 125°. This kind of black GaAs etching process could be added to the fabrication workflow of photodetectors and solar cell devices to further improve their characteristics.
Plasma Amyloid-β Oligomerization Assay as a Pre-Screening Test for Amyloid Status
Authors: Mofrad Rosha Babapour , Scheltens Philip , Kim SangYun , Kang Sungmin , Youn Young Chul , An Seong Soo A. , Tomassen Jori , Berckel Bart N.M. van , Visser Pieter Jelle , Flier Wiesje M. van der , Teunissen Charlotte E 
Published: December 2020

Abstract
Background: We assessed the performance of plasma amyloid oligomerization tendency (OAβ) as a marker for abnormal amyloid status. Additionally, we examined long-term storage effects on plasma OAβ. Methods: We included 399 subjects regardless of clinical diagnosis from the Amsterdam Dementia Cohort and European Medical Information Framework for AD project (age:63.8±6.6; 44% female). Amyloid status was determined by visual read on Positron Emission Tomography (PET; n abnormal= 206). Plasma OAβ was measured using the Multimer Detection System (MDS). Long-term storage effects on MDS-OAβ were assessed using General Linear Models. Associations between plasma MDS-OAβ and Aβ-PET status were assessed using logistic regression and receiver operating characteristics analyses. Correlations between plasma MDS-OAβ and CSF biomarker levels were evaluated using Pearson correlation analysesResults MDS-OAβ was higher in in individuals with abnormal amyloid, and it identified abnormal Aβ-PET with an Area Under the Curve (AUC) of 0.74 (95%CI: 0.67-0.81), especially in samples with short-term storage duration. Combining APOEe4 and age with plasma MDS-OAβ revealed an AUC of 81% for abnormal amyloid PET status (95%CI:74%-87%). Plasma MDS-OAβ correlated negatively with MMSE (r=-0.29,p<.01), and CSF Aβ42 (r=-0.20,p<0.05), and positively with CSF t-Tau (r=0.20,p=0.01).Conclusions: Plasma MDS-OAβ combined with APOEe4 and age, accurately identifies brain amyloidosis in a large Aβ-confirmed population. Using plasma MDS-OAβ as a screener reduced the costs and number of PET scans needed to screen for amyloidosis, which is relevant for clinical trials. Additionally, plasma MDS-OAβ levels appeared affected by long-term storage duration, which could be of interest for others measuring plasma Aβ biomarkers.
Quantitative Assessment on the Severity Degree of Alzheimer Dementia by Algebraic Bigdata Analysis on Cortical Thickness Profiles of Human Brains
Authors: Kim Sangyeol , Park Seongjun , Chang Iksoo 
Published: December 2020

Abstract
Background: Alzheimer disease(AD) affects profoundly the quality of human life. Quantifying the severity degree of AD for an individual person is critical for the early diagnose and prescription for delaying the further dementia progression. However, the quantitative diagnose for human subjects of the mild cognitively impairment (MCI) or AD with the different degree of dementia severity is still a difficult task due to both the very broad distribution of dementia severities and the lack of good quantitative determinant to assess it.Methods: We performed the bigdata analysis of cortical thickness of 1516 human brain images. Instead of dealing with cortical thickness at all 327,684 vertices on the whole cortex of a human brain from MRI, we extracted the essential cortical thickness data at a few hundred vertices to distinguish efficiently AD, MCI, and cognitively normal (CN) cohorts each other. We learned a statistical score matrix and a covariance correlation matrix of cortical thickness profile between human subjects as a set of classifier and predictor for diagnosing the dementia states of AD.Results: The subjects with AD were recognized with more than 91% accuracy in self-recognition test, and the independent validation subjects with AD were predicted correctly with more than 82% accuracy in stratified 3-fold cross validation test. Given a new person for diagnosing and provided with the covariance correlation matrix developed in this study as a predictor, more importantly one could estimate the personalized severity degree of dementia in terms of a quantitative value, ranging from 0 for the basin of CN state to 1 for the basin of AD state. Also, one could sort out the broad spectrum of the severity of dementia for MCI subjects in that whether they are prone to CN or how much they are progressed toward AD.Conclusions: Here, a new approach of algebraic bigdata analysis is presented for the quantitative assessment on both the severity degree of AD and the systematic classification of three cohorts based on cortical thickness data of 1516 human brain images from MRI. This new approach can facilitate the better diagnose of AD with the different degree of dementia.
GIS-Based Multi-criteria Analysis for Sustainable Urban Green Spaces Planning in Emerging Towns of Ethiopia: The Case of Sululta Town
Authors: Gelan Eshetu 
Published: December 2020

Abstract
BackgroundUrban green spaces are important components, contributing in different ways to the quality of human well-being. In the planning and management of urban centres, attention to the appropriate site selection of urban green spaces with regard to the possible importance that these spaces have from the perspectives of ecology, socioeconomic, mentality, etc., is an inevitable requirement. In present decades, land suitability mapping methods and GIS have been used to support urban green space planners in developed countries; however, its application and practices are limited in developing countries, like Ethiopia. Therefore, the aim of this study has to select potential sites for green spaces in Sululta town that assist an effective planning process of green areas in a sustainable way. MethodsIn this study, GIS-based Multi-criteria analysis (MCA) has been adopted to select suitable sites for urban green spaces. Existing land use, proximity to settlement, road and water body, population density, land ownership, topography, and scenic attractiveness were recognized as the key factor affecting urban green land suitability. ResultBased on GIS-based MCA, 13.6%, 34%, 28%, and 18.9% of the study area are highly suitable, suitable, moderately suitable, and poorly suitable, respectively. Furthermore, based on the suitability analysis out of the total area of the study town 5.5% of the landmass is not suitable for green spaces. ConclusionTherefore, the application of this tool has provided an effective methodology to solve a complex decisional problem in green spaces site selection in the study town and urban planning all over the country.
Adjuvant Capecitabine-Containing Chemotherapy Benefit and Homologous Recombination Deficiency Status Among Early-Stage TNBC Patients in the FinXX trial
Authors: de Boo Leonora W. , Jóźwiak Katarzyna , Joensuu Heikki , Lindman Henrik , Lauttia Susanna , Opdam Mark , Steenis Charlaine van , Brugman Wim , Kluin Roelof J.C. , Schouten Philip C. , Kok Marleen , Nederlof Petra M. , Hauptmann Michael , Linn Sabine 
Published: December 2020

Abstract
Background: Recent data demonstrate that patients with early-stage triple negative breast cancer (TNBC) benefit from escalating adjuvant treatment with capecitabine. However, since a substantial proportion of patients does not benefit, predictive biomarkers to select those individuals upfront are needed. Over half of all TNBCs have a BRCA1-like DNA copy number signature similar to the profile found in germline BRCA1-mutated breast cancers and indicative for homologous recombination deficiency. We evaluate this signature as a predictive biomarker for capecitabine benefit in archived specimens of the randomized controlled FinXX trial. Additionally, we compared the concordance of our DNA-based BRCA1-like classifier with the RNA-based NanoString BRCAness signature. Methods: Early-stage TNBC patients were randomized between adjuvant capecitabine-containing chemotherapy (TX+CEX: capecitabine plus docetaxel, followed by cyclophosphamide, epirubicin and capecitabine) and conventional adjuvant chemotherapy (T+CEF: docetaxel, followed by cyclophosphamide, epirubicin, and fluorouracil). Breast tumor BRCA1-like status was determined on low coverage, whole genome next-generation sequencing data using an established DNA comparative genomic hybridization algorithm. We used interaction analysis in proportional hazards models to evaluate whether benefit of adjuvant capecitabine-containing versus conventional chemotherapy differs between BRCA1-like and non-BRCA1-like tumors in early-stage TNBC patients.Results: For 129 (63.9%) of the 202 TNBC patients the BRCA1-like status could be determined. Thirty-five recurrences and 32 deaths occurred during a median follow-up of 10.7 years. The capecitabine effect on recurrence-free survival did not significantly differ between the 68 patients (52.7%) with a BRCA1-like tumor (HR 0.66, 95% CI 0.24-1.81) and others (HR 0.23, 95% CI 0.08-0.70, P interaction = 0.17), also after adjustment for clinico-pathological variables. Conclusions: In the FinXX trial, the BRCA1-like status was not associated with a differential benefit from capecitabine-containing adjuvant chemotherapy compared to conventional chemotherapy in the TNBC subgroup. Based on this study, it is unlikely that the BRCA1-like classifier can be used to distinguish patients who do and do not benefit from capecitabine-enriched standard adjuvant chemotherapy.
Vitrectomy for Vitreous Hemorrhage Secondary to Branch Retinal Vein Occlusion
Authors: Tong Gengmin , Pan Qintuo , Hu Yishan , Wang Dawei , Jin Yanhua 
Published: December 2020

Abstract
PurposeTo investigate the long-term surgical outcomes after treatment with pars plana vitrectomy (PPV) combined with photocoagulation in different severities of branch retinal vein occlusion (BRVO) with vitreous hemorrhage (VH).MethodsWe retrospectively reviewed the medical records of 117 eyes of 117 patients who underwent PPV for VH associated with BRVO and who were followed up for at least 12 months. Preoperative best-corrected visual acuity (BCVA), surgical intervention, final BCVA, and central foveal thickness (CFT) were evaluated using optical coherence tomography. According to the intraoperative observation, we divided them into four different types: Grade I, pure persistent VH; Grade II,VH with epiretinal membrane (EM) (Grade IIa, VH with EM without macular involvement; Grade IIb, VH with EM with macular involvement); and Grade III,VH with tractive retinal detachment. Different surgical methods were applied according to the different retinal conditions.ResultsBCVA significantly improved at final follow-up in all groups. There was no significant difference among the four groups in terms of preoperative BCVA, final BCVA, CFT, and the number of patients whose macular edema recurred after surgery(p>0.05), but there was a significant difference in vision improvement(p<0.05). Vision improvement in the Grade IIb group was significantly worse than in the Grade I group(p=0.006) and Grade IIa group(p=0.046).The percentage of patients in the Grade I, Grade IIa, Grade IIb, and Grade III groups underwent further laser treatment after surgery was 0%,8.3%,16.3%, and 23.5%, respectively(p<0.05).ConclusionVitrectomy is a safe and effective treatment for BRVO with VH. Visual acuity improvement was significantly worse when the EM had macular involvement (Grade IIb).
Association Between Visual Acuity, Ocular Pathology and Refractive Error with Computer Vision Syndrome: Cross Sectional University Study in Kenya
Authors: Muma Shadrack Lusi , Aduda Dickens Omondi , Ogola Patrick Onyango 
Published: December 2020

Abstract
Background: Numerous factors have been shown to reduce symptomatic and non-symptomatic forms for computer vision syndrome. However, little is known on the impact among computer users diagnosed with severe symptoms of computer vision syndrome. The study assessed whether reduced visual acuity, ocular pathology and refractive error are associated with computer vision syndrome. Methods: A cross sectional university based study in Kenya. Seven hundred and eighty three participants were included in the study. Visual acuity was determined using snellens chart and converted to logMAR chart. Ocular pathology was determined through comprehensive examination using a slit lamp. Computer vision syndrome was determined using a validated questionnaire. Finally Retinoscopy was conducted to determine the type of refractive error. Results: Participants with refractive error above ± 0.50 dioptres had a greater odds, multivariate adjusted ratio 0.73 (95% CI 0.63-0.90) for developing computer vision syndrome. Similar to visual acuity with multivariate adjusted odds ratio of 0.31 (95% CI 0.24-0.47) and ocular pathologies being significantly associated with computer vision syndrome (p=.04). Ocular condition like sub conjunctival hemorrhage was not significantly associated with computer vision syndrome (P=.12). Conclusion: Reduced visual acuity, presence of ocular pathology and refractive error were associated with greater likelihood of computer vision syndrome. Particularly among those who had never had optical correction. Eye care providers are well placed to come up with proper diagnosis of CVS.
Inversion of the Slip Distribution of the 2017 Ms7.0 Jiuzhaigou Earthquake From InSAR
Authors: Tang Xiongwei , Guo Rumeng , Xu Jianqiao , Sun Heping , Chen Xiaodong , Zhou Jiangcun 
Published: December 2020

Abstract
On 8 August 2017, an Ms 7.0 earthquake occurred on a buried fault extending to the north of the Huya fault. Based on the coseismic deformation field obtained from Interferometric Synthetic Aperture Radar (InSAR) data and a series of finite fault model tests, we proposed a brand new two-fault model composed of a main fault and a secondary fault as the optimal model for the Jiuzhaigou earthquake, in which the secondary fault is at a large obtuse angle to the northern end of the main fault plane. Results show that the slip distribution is dominated by sinistral slip, with a significant shallow slip deficit. The main fault consists of two asperities, which is bounded by an aftershock gap may representing a barrier. In addition, we find that most of the aftershocks were located down-dip of the high-slip areas and laid in stress shadows. We deduce that the aftershocks may be controlled by the background tectonic stress field, and may be related to the velocity-strengthening zones.