bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anticoagulation Therapy in Endovascular Thrombectomy Patients With Large‐Vessel Occlusion Caused by Cardioembolism
Authors: Hong Jae Beom , Diprose William K. , Wang Michael T. M. , Alan Barber Peter 
Published: February 2022

Background
In patients with ischemic stroke, cardioembolism, predominantly caused by atrial fibrillation (AF), is a leading preventable cause of large‐vessel occlusion (LVO). Despite proven efficacy, inadequate oral anticoagulant (OAC) therapy continues to be a major problem in patients with AF, mechanical heart valves, and other potential sources of emboli. We aimed to determine rates of cardioembolic LVO, the adequacy of OAC, and the association of OACs with clinical outcomes in patients with LVO treated with endovascular thrombectomy (EVT).

Methods
Consecutive patients with cardioembolism treated with EVT were included and had pre‐stroke indication for OACs and the adequacy of anticoagulation determined. The primary outcome was 3‐month functional independence (modified Rankin Scale score 0–2). Secondary outcomes included early neurological recovery (reduction in National Institutes of Health Stroke Scale score ≥8 points, or score of 0–1 at 24 hours), symptomatic intracranial hemorrhage, and 3‐month mortality and modified Rankin Scale score.

Results

There were 784 patients treated with EVT, of whom 416 (53.1%; 231 men; mean±SD age, 67.1±15.9) had cardioembolic LVO. Of those with cardioembolism, 221 (53.1%) had prevalent AF, 99 (23.8%) incident AF, 48 (11.5%) mechanical heart valves, 10 (2.4%) left ventricular thrombus, and 38 (9.1%) other cardioembolic causes. A total of 242 patients were identified as having a pre‐stroke indication for OACs, and 67 (27.7%) of these patients were considered adequately anticoagulated at time of LVO. In all 242 patients with cardioembolism with a pre‐stroke indication for OACs, adequate anticoagulation was not associated with EVT outcomes. However, adequate anticoagulation in patients with prevalent AF was associated with lower rates of internal carotid artery occlusion (6.8% versus 18.9%;
P
=0.03) and higher rates of functional independence (odds ratio=1.94; 95% CI, 1.02–3.78];
P
=0.04).

Conclusions
Over half of patients treated with EVT were assessed as having a cardioembolic cause. Just over a quarter of patients with an indication for OACs at the time of LVO were adequately anticoagulated. These figures suggest that a substantial number of EVT procedures may have been avoided if more patients had been adequately anticoagulated.
Semantic segmentation of landcover for cropland mapping and area estimation using Machine Learning techniques
Authors: Lingwal Surabhi , Bhatia Komal Kumar , Singh Manjeet 
Published: February 2022

ABSTRACT
The paper has focussed on the global landcover for the identification of cropland areas. Population growth and rapid industrialization are somehow disturbing the agricultural lands and eventually the food production needed for human survival. Appropriate agricultural land monitoring requires proper management of land resources. The paper has proposed a method for cropland mapping by semantic segmentation of landcover to identify the cropland boundaries and estimate the cropland areas using machine learning techniques. The process has initially applied various filters to identify the features responsible for detecting the land boundaries through the edge detection process. The images are masked or annotated to produce the ground truth for the label identification of croplands, rivers, buildings, and backgrounds. The selected features are transferred to a machine learning model for the semantic segmentation process. The methodology has applied Random Forest, which has compared to two other techniques, Support Vector Machine and Multilayer perceptron, for the semantic segmentation process. Our dataset is composed of satellite images collected from the QGIS application. The paper has derived the conclusion that Random forest has given the best result for segmenting the image into different regions with 99% training accuracy and 90% test accuracy. The results are cross-validated by computing the Mean IoU and kappa coefficient that shows 93% and 69% score value respectively for Random Forest, found maximum among all. The paper has also calculated the area covered under the different segmented regions. Overall, Random Forest has produced promising results for semantic segmentation of landcover for cropland mapping.
‘This study aims to …’
Authors: Khedri Mohsen 
Published: February 2022

Abstract
Using Swales’ (1990) CARS model and Hyland’s (2005) interpersonal model of metadiscourse, this study takes a pragmatic approach to explore the rhetorical structure and metadiscoursal features of research article introductions in a comparable corpus of 40 introductions from applied linguistics and chemistry. Specifically, this article reports on a rhetorical analysis of introduction moves and an identification of metadiscourse markers and discourse functions they were conveying and focuses on the mapping of the markers most pervasively used to signal the moves. Results showed disciplinary differences regarding both move structure and metadiscourse use which could be attributed to the susceptibility of rhetorical practices and preferences to socio-rhetorical conventions in each community. In addition to their pedagogical implications, the results of this study could be of use for novice research article writers and/or students in applied linguistics and chemistry in order to better consolidate their credence and socialisation in their community through publication.
A Decade of the North American Multimodel Ensemble (NMME): Research, Application, and Future Directions
Authors: Becker Emily J. , Kirtman Ben P. , L’Heureux Michelle , Muñoz Ángel G. , Pegion Kathy 
Published: February 2022

Abstract
Ten years, 16 fully coupled global models, and hundreds of research papers later, the North American Multimodel Ensemble (NMME) monthly-to-seasonal prediction system is looking ahead to its second decade. The NMME comprises both real-time, initialized predictions and a substantial research database; both retrospective and real-time forecasts are archived and freely available for research and development. Many U.S.-based and international entities, both private and public, use NMME data for regional or otherwise tailored forecasts. The system’s built-in evolution, with new models gradually replacing older ones, has been demonstrated to gradually improve the skill of 2-m temperature and sea surface temperature, although precipitation prediction remains a difficult problem. This paper reviews some of the NMME-based contributions to seasonal climate prediction research and applications, progress on scientific understanding of seasonal prediction and multimodel ensembles, and new techniques. Several prediction-oriented aspects are explored, including model representation of observed trends and the underprediction of below-average temperature. We discuss potential new directions, such as higher-resolution models, hybrid statistical–dynamical techniques, or prediction of environmental hazards such as coastal flooding and the risk of mosquito-borne diseases.
Causes of Interannual Variability of Summer Precipitation Intraseasonal Oscillation Intensity over Southwest China
Authors: Nie Yanbo , Sun Jianqi 
Published: February 2022

AbstractThe interannual variability in summer precipitation intraseasonal oscillation intensity over southwest China (SWC) is investigated in this study. The results indicate that the 7–20-day period dominates the intraseasonal variability in summer SWC precipitation. The leading mode of summer SWC precipitation 7–20-day oscillation intensity (SPOI) is a north–south dipole pattern with prominent interannual variability. The atmospheric circulation anomalies from both tropics and mid- to high latitudes are responsible for the interannual variability in the dipole pattern. In the tropics, an enhanced local Hadley cell and an anomalous anticyclone over southern China and the northwest Pacific contribute to the north-positive–south-negative pattern of SPOI by inducing moisture convergence (divergence) over northern (southern) SWC in the background state. In the mid- to high latitudes, the 7–20-day Rossby wave trains along the subtropical jet are crucial for the 7–20-day precipitation over northern SWC. Further analyses suggest that the sea surface temperature (SST) anomalies over the Maritime Continent (MC) and the North Atlantic (NA) are associated with the SPOI dipole pattern. The MC SST warming causes convection anomalies over the tropical Indo-Pacific, consequently triggering a Matsuno–Gill-type atmospheric response conducive to the north-positive–south-negative pattern of SPOI. The NA SST tripole triggers a Rossby wave train across Eurasia that strengthens the East Asian westerly jet and enhances 7–20-day atmospheric variability, consequently favoring the variability of 7–20-day precipitation over northern SWC. Diagnoses of moisture and vorticity budgets further indicate the importance of the interaction between intraseasonal fluctuations and atmospheric background in the formation of the north–south difference in 7–20-day precipitation variability over SWC.
Strategies to support older adults’ mental health during the transition into residential aged care: a qualitative study of multiple stakeholder perspectives
Authors: Polacsek Meg , Woolford Marta 
Published: February 2022

Abstract
Background
The move from home into residential care is one of the most stressful life experiences for older adults. ‘Relocation stress’ is a significant risk factor for anxiety and/or depression in aged care residents. Whether long-term or recently diagnosed, these mood disorders are associated with a decline in overall well-being, daily functioning and independence. The mental health needs of older adults are often poorly recognised and supported, including during the transition into residential care. Despite growing interest in how to facilitate this major life transition, few studies have taken the perspective of multiple stakeholders. The aim of this study was to explore resident, relative and staff experiences of the transition into residential aged care, and to identify strategies to support the mental health of older adults at this time. The role of pastoral care practitioners to facilitate transitions and support residents’ mental health was also examined.

Methods
This phenomenological study involved individual interviews with 35 aged care residents, relatives and staff, between January and April 2021. Participants were selected using purposive sampling. Audio-recorded interviews were transcribed verbatim and supported by field notes. Data analysis followed Giorgi’s steps for qualitative data analysis.

Results
Results were distilled into three main categories related to the overall transition experience, recognising and responding to residents’ mental health needs, and tailoring support to individual needs. A novel contribution of this study relates to the need to address a broad misunderstanding of the role of pastoral care and subsequent under-utilisation of a potentially valuable resource.

Conclusions
By describing transition experiences and the resources to support residents’ mental health, findings of this study provide practical, ‘real world’ suggestions for reducing relocation stress. New resources developed from the findings include guides, checklists and short question-and-answer films, in which current residents and staff describe strategies to support mental health and overall quality of life. Similar resources could be used to support transitions in other care settings.
The impact of the Covid-19 pandemic on maternal delivery experiences and breastfeeding practices in China: data from a cross-sectional study
Authors: Yu Jinyue , Gao Mingyue , Wei Zhuang , Wells Jonathan C. K. , Fewtrell Mary 
Published: February 2022

Abstract
Background
The COVID-2019 pandemic has placed extensive pressure on health systems and posed a severe public health challenge worldwide. Lockdown measures implemented in many countries have delayed virus spread. However, a considerable number of people have faced unprecedented pressure, especially pregnant and breast-feeding women, because face-to-face professional support has been reduced during the lockdown in many countries.

Objectives
To compare the delivery and infant feeding experiences of women who delivered before (BL) versus during (DL) the Covid-19 pandemic in Beijing, China and to investigate predictors of breastfeeding at 6-months.

Methods
Women aged ≥18 years with an infant ≤18 months of age completed an anonymous survey. Information/links were shared online and via local clinics in Beijing. Logistic regression was performed to assess predictors of breastfeeding during the first 6-months.

Results
One thousand eight hundred seven women provided data; BL 1231 (68.1%), DL 576 (31.9%). Significantly more mothers in DL group reported the lockdown had moderate to high impact to their household income (p = 0.013) and the convenience of purchasing daily necessities(p = 0.014). Compared to BL mothers, significantly more mothers in the DL groups thought their birth location and breastfeeding intention had been effected by the COVID-19 (p < 0.001, p = 0.036 respectively). Mostly breastfeeding (MBF, mainly breastfeeding with few non-formula fluids added) at 6 months was predicted by delivery during the lockdown period (OR1.43, 95% confidence interval (CI) 1.08, 1.90), younger maternal age (OR 0.96, 95%CI 0.93, 0.99), getting support from friends or relatives (OR 1.95, 95%CI 1.06, 3.59), and discussing health issues in online groups > four times a week (OR 1.66, 95%CI 1.09, 2.53).

Conclusion
The COVID-19 pandemic and lockdown measures influenced mothers’ planned birth location and breastfeeding intention. However, breastfeeding practice was maintained during the pandemic. Our results highlight the importance of feeding support as well as potential beneficial effects of increased mother-infant contact during the lockdown period which is relevant even under normal circumstances.
A step in the right direction: Delphi consensus on a UK and Australian paediatric podiatry curriculum
Authors: Reay Julie , Williams Cylie , Nester Chris , Morrison Stewart C. 
Published: February 2022

Abstract
Background
Previous research shows considerable variation in pre-registration paediatric podiatry curricula, and thus the clinical skills realised prior to graduation. Whilst pre-registration training is guided by regulatory bodies, these high level principles only refer briefly to standards in paediatric practice. An estimated 9% of podiatry caseloads in the United Kingdom (UK) and Australia are dedicated to paediatric service provision. Therefore, it is imperative that curricula support the consistent development of paediatric practice enabling newly registered podiatrists to work safely and effectively with children. Given that the global healthcare work force provides unique opportunities to explicitly align international curricula, the aim of this study was to determine the priorities for a UK and Australian binational pre-registration paediatric podiatry curriculum.

Methods
A four round modified Delphi design was employed to ascertain consensus and agreement of a panel of experts with a special interest in paediatrics working in the UK and Australia. Round 1 contained open questions designed to promote diverse responses on the broad topics of lecturer experience and curriculum organisation and delivery. The answers from Round 1 were developed, through content analysis, into a series of statements presented to the panel for agreement in Rounds 2, 3 and 4.

Results
Of the 297 statements generated following Round 1, 183 were accepted and 114 rejected by the end of Round 4. 109 of the accepted statements related to curriculum content. Participants also agreed on areas relating to lecturer experience, clinical education, and assessment of paediatric skills.

Conclusions
This study is the first of its kind to describe elements of a curriculum for pre-registration podiatry training. The recommendations highlight opportunities that education providers can work towards during curriculum design. They also emphasise the collaboration that is needed between professional bodies, clinicians and higher education institutions when defining guidelines and expectations for paediatric specific skills.
Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy
Authors: Kamphorst Bart , Rooijakkers Thomas , Veugen Thijs , Cellamare Matteo , Knoors Daan 
Published: February 2022

Abstract
Background
Analysing distributed medical data is challenging because of data sensitivity and various regulations to access and combine data. Some privacy-preserving methods are known for analyzing horizontally-partitioned data, where different organisations have similar data on disjoint sets of people. Technically more challenging is the case of vertically-partitioned data, dealing with data on overlapping sets of people. We use an emerging technology based on cryptographic techniques called secure multi-party computation (MPC), and apply it to perform privacy-preserving survival analysis on vertically-distributed data by means of the Cox proportional hazards (CPH) model. Both MPC and CPH are explained.

Methods
We use a Newton-Raphson solver to securely train the CPH model with MPC, jointly with all data holders, without revealing any sensitive data. In order to securely compute the log-partial likelihood in each iteration, we run into several technical challenges to preserve the efficiency and security of our solution. To tackle these technical challenges, we generalize a cryptographic protocol for securely computing the inverse of the Hessian matrix and develop a new method for securely computing exponentiations. A theoretical complexity estimate is given to get insight into the computational and communication effort that is needed.

Results
Our secure solution is implemented in a setting with three different machines, each presenting a different data holder, which can communicate through the internet. The MPyC platform is used for implementing this privacy-preserving solution to obtain the CPH model. We test the accuracy and computation time of our methods on three standard benchmark survival datasets. We identify future work to make our solution more efficient.

Conclusions
Our secure solution is comparable with the standard, non-secure solver in terms of accuracy and convergence speed. The computation time is considerably larger, although the theoretical complexity is still cubic in the number of covariates and quadratic in the number of subjects. We conclude that this is a promising way of performing parametric survival analysis on vertically-distributed medical data, while realising high level of security and privacy.
Today’s referral is tomorrow’s repeat patient: referrals to and between medical outpatient clinics in a hospital
Authors: Safi Mariam , Clay-Williams Robyn , Thude Bettina Ravnborg , Vaisman Julija , Brandt Frans 
Published: February 2022

Abstract
Background
Unnecessary referrals in Danish hospitals may be contributing to inefficient use of health services already stretched and under pressure and may lead to delayed treatment for patients. Despite a growing awareness in the literature and in practice of issues related to referrals, there has been relatively little research on referrals between specialists in hospital outpatient clinics and how it can be improved. This study aimed to describe the referral patterns to and within the Medical Department at the University Hospital of Southern Denmark. The Medical Department consists of the following medical specialist outpatient clinics; nephrology, pulmonology, endocrinology, cardiovascular, wound outpatient clinic, and a day hospital.

Methods
Two specialist physicians assessed all referrals to the medical specialist outpatient clinics over one month (from 01 September 2019 to 30 September 2019) using data drawn from the Danish electronic patient record system (Cosmic). Data on referral pattern, and patient age and sex, were statistically analysed to identify and characterise patterns of referral.

Results
Four hundred seventy-one (100%) referrals were included in the study. 49.5% (233) of the referrals were from the hospital and 50.5% (238) from general practitioners (GPs). Of the 233 referrals from the hospitals, 31% (72) were from the Medical Department.

Conclusion
The high rate of referrals (31%) from own Medical Department or outpatient clinics may reflect an inefficient internal referral process within the department. Improved collaboration between specialists could have the potential to improve health outcomes, timely access to care and more appropriate healthcare resource utilisation.
Therapeutic efficacy of mesenchymal stem cells for abdominal aortic aneurysm: a meta-analysis of preclinical studies
Authors: Li Xintong , Wen Hao , Lv Junyuan , Luan Boyang , Meng Jinze , Gong Shiqiang , Wen Jie , Xin Shijie 
Published: February 2022

Abstract
Background
Abdominal aortic aneurysm (AAA) is life-threatening, surgical treatment is currently the only clinically available intervention for the disease. Mesenchymal stem cells (MSCs) have presented eligible immunomodulatory and regenerative abilities which showed favorable therapeutic efficacy in various cardiovascular diseases. However, current evidence summarizing the effectiveness of MSCs for AAA is lacking. Thus, a meta-analysis and systematic review was necessary to be performed to assess the therapeutic efficacy of MSCs for AAA in preclinical studies.

Methods
Comprehensive literature search restricted in English was conducted in PubMed, Cochrane Library, EBSCO, EMBASE and Web of Science from inception to Oct 2021. The primary outcomes were parameters about aortic diameter change during MSCs intervention. The secondary outcomes included elastin content and expression level of inflammatory cytokines, matrix metalloproteinases (MMPs) and their inhibitors (TIMPs). Data were extracted and analyzed independently by two authors. The meta package with random effects model was used to calculate the pooled effect size and 95% confidence intervals in R (version 4.0.2).

Results
Meta-analysis of 18 included studies demonstrated that MSCs intervention has significant therapeutic effects on suppressing aortic diameter enlargement compared with the control group (diameter, SMD = − 1.19, 95% CI [− 1.47, − 0.91]; diameter change ratio, SMD = − 1.36, 95% CI [− 1.72, − 1.00]). Subgroup analysis revealed differences between MSCs and control group regarding to cell type, intervention route and cell compatibility. Moreover, the meta-analysis also showed that MSCs intervention had a significant effect on preserving aortic elastin content, reducing MCP-1, TNF-α, IL-6, MMP-2/9 and increasing TIMP-1/2 expression level compared with control group.

Conclusion
Our results suggested that MSC intervention is effective in AAA by suppressing aortic diameter enlargement, reducing elastin degradation, and modulating local immunoinflammatory reactions. These results are important for the systemic application of MSCs as a potential treatment candidate for AAA in further animal experiments and clinical trials.