bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-term outcomes of flow diversion for unruptured intracranial aneurysms: a systematic review and meta-analysis
Authors: Shehata Mostafa A , Ibrahim Mohamed K , Ghozy Sherief , Bilgin Cem , Jabal Mohamed Sobhi , Kadirvel Ramanathan , Kallmes David F 
Published: September 2022

BackgroundFlow diverters have been widely used in clinical practice for more than a decade. However, most outcome data are limited to 1 year timepoints. This study aims to offer meta-analysis data on long-term (>1 year) safety and effectiveness results for patients with aneurysms treated with flow diverters.MethodsPubMed, Web of Science, Embase, and SCOPUS were searched up to February 24, 2022 using the AutoLit platform. We included primary studies assessing the long-term outcomes for flow diverter devices to manage unruptured internal carotid artery aneurysms with a follow-up period of >1 year. The meta-analysis was carried out using Comprehensive Meta-Analysis software (CMA).ResultsEleven studies were included in the meta-analysis. The pooled occlusion rates after flow diversion treatment for unruptured intracranial brain aneurysms were 77%, 87.4%, 84.5%, 89.4%, 96% for 1 year, 1–2 years, 2 years, 3 years, and 5 years follow-up, respectively. The in-stent stenosis rate was 4.8% and the retreatment rate for the long-term follow-up period was 5%. No delayed rupture of the aneurysm was reported, and there was one case of delayed ischemic stroke. The sensitivity analysis of the prospective studies showed a complete occlusion rate of 83.5% and 85.2% for 1 and 3 years of follow-up, respectively.ConclusionFlow diverters are safe and effective in short- and long-term follow-up and rarely cause serious delayed side effects.
Modernism, Identity, and Spirituality in Joseph Stella’s Paintings of Christian Subjects
Authors: Hartel Herbert R. 
Published: September 2022

Abstract
Joseph Stella is best known today as one of the first modernist painters in the United States. He created colorful Cubist-Futurist inspired paintings of modern urban structures and spaces, especially the Brooklyn Bridge and Coney Island. He occasionally did some paintings and drawings of Christian subjects, most often of the Virgin Mary and Jesus and more frequently in the late-1910s and 1920s, but these remain little-known and have received scant scholarly attention. Stylistically, they are rooted in a complex fusion of Symbolism, Cubism, and Futurism and often reflect the post-World War I return to greater verisimilitude and clear, solid forms and believable spaces. These works reveal Stella’s complex spirituality and how he reconnected to his Roman Catholic, Italian roots and reconciled them with American urban, industrial, and secular values. Most of them are complex syntheses of his Christian piety and sexual desires and needs. Although limited in quantity and scope, some writings by Stella and those who knew him suggest his sexual concerns were often intensely lustful and frenzied. Therefore his paintings of the Madonna usually show her as spiritually pure and sensuously arousing. A few paintings, particular from his last years and which do not depict female figures, are more introspective and tranquil in mood and attitude. Stella’s paintings of Christian subjects are an intriguing case study of how modernists returned to traditional religious themes and depicted them in ways that combined the old and the new, the modernist and the more traditionally representational, and the urban and industrial twentieth century with pre-modern life.
The Christmas Miracle of Emil von Behring
Authors: Nakayama Don K. 
Published: September 2022

The foundation story of immunology is the Christmas miracle of Emil von Behring, whose diphtheria antitoxin was first used to save the life of a child on Christmas Day 1891. Modern scholarship has dismissed it as historically and scientifically implausible: Behring’s lab did not have enough antitoxin serum for use in humans, and Ernst von Bergmann had prohibited its use at the Charité. But antitoxin was tried that December by their assistants, Erich Wernicke, who processed injected rams and horses and harvested the serum for Behring, and Heinrich Geissler, who was one of Bergmann’s house physicians. Especially during the Christmas season, it is easy to imagine Wernicke and Geissler bypassing protocol and giving the serum a try as a last-ditch effort to save a dying child. Derek Linton, a Behring biographer, wrote: A harried nurse confronted by a dying infant belatedly remembers that a doctor with a promising remedy for diphtheria urged her to bring hopeless cases to his attention and has him roused from his slumber on the other side of Berlin in the middle of the night on December 20, 1891. The injection of his wonder serum then rapidly resuscitates the comatose infant. Five days later, the parents celebrate the most joyous Christmas of their lives with their fully recovered daughter.
Models of inter-election change in partisan vote share
Authors: Wilson Mark C. , Grofman Bernard N. 
Published: September 2022

For a two-party electoral competition in a districted legislature, the change in mean vote share for party A from one election to the next is commonly referred to as swing. A key question, highly relevant to election forecasting and the measurement of partisan gerrymandering, is: “How do we expect the swing to be distributed across the districts as a function of previous vote share?”. The literature gives two main answers: uniform swing and proportional swing. Which is better has been unresolved for decades. Here we (a) provide an axiomatic foundation for desirable properties of a model of swing; (b) show axiomatically that using uniform swing or proportional swing is a bad idea, (c) provide a simple swing model that does satisfy the axioms, and (d) show how to integrate a reversion to the mean effect into models swing. We show that all the above models can be expected to work well when (a) elections are close, or (b) when we restrict to data where swing is low, or (c) when we eliminate the cases where the model is most likely to go wrong. We show on a large US Congressional dataset that in addition to its superior axiomatic properties, our new model provides an overall equal or better fit on five indicators: mistakes about directionality of change, mistakes in winner, estimates that are outside the [0..1] bounds, mean-square error, and correlation between actual and predicted values. We recommend replacing the uniform and proportional swing models with the new model.
Gestational bisphenol A exposure impairs hepatic lipid metabolism by altering mTOR/CRTC2/SREBP1 in male rat offspring
Authors: Yang Q , Mao Y , Wang J , Yu H , Zhang X , Pei X , Duan Z , Xiao C , Ma M 
Published: September 2022

Lipid metabolism is an important biochemical process in the body. Recent studies have found that environmental endocrine disruptors play an important role in the regulation of lipid metabolism. Bisphenol A (BPA), a common environmental endocrine disruptor, has adverse effects on lipid metabolism, but the mechanism is still unclear. This study aimed to investigate the effects of gestational BPA exposure on hepatic lipid metabolism and its possible mechanism in male offspring. The pregnant Sprague-Dawley rats were exposed to BPA (0, 0.05, 0.5, 5 mg/kg/day) from day 5 to day 19 of gestation to investigate the levels of triglyceride (TG) and total cholesterol (TC), and the expression of liver lipid metabolism-related genes in male offspring rats. The results showed that compared with the control group, the TG and TC levels in serum and liver in BPA-exposed groups was increased. And the expressions of liver fatty acid oxidation related genes, such as peroxisome proliferators-activated receptor α (PPARα) and carnitine palmitoyl transferase 1α (CPT1α), were down-regulated. However, the expressions of fatty acid synthesis related genes, such as sterol regulatory element binding proteins 1 (SREBP-1), acetyl-CoA carboxylase 1 (ACC1), fatty acid synthase (FAS) and stearoyl-CoA desaturase 1 (SCD-1), were up-regulated. The increased protein levels of mTOR and p-CRTC2 suggested that CREB-regulated transcription coactivator 2 (CRTC2) might be an important mediator in the mTOR/SREBP-1 pathway. In conclusion, these results demonstrated that mTOR/CRTC2/SREBP-1 could be affected by gestational BPA exposure, which may involve in the lipid metabolic disorders in later life.
A conceptual model of the impact of including carers in museum programmes for people with dementia
Authors: Kinsey Debbie , Orr Noreen , Anderson Rob , Lang Iain 
Published: September 2022

Background Research has highlighted a need for more theoretical work in arts interventions, including the role of the dyad. This study aimed to test theories from a literature review on the impact of including carers in museum programmes for people with dementia, and develop a model which can be used in other programmes to consider the impact of including carers more broadly. Methods Using a realist evaluation approach, theory was developed through interviews and participant-observation at six museums in the UK. Findings The impacts of including carers fell into seven broad areas – caring responsibility, session function, controlling access, preventing engagement, comparisons and losses, long-term impact of in-the-moment activities, and reducing social isolation and opening up the museum. Conclusions Including carers may have both unanticipated benefits and negative consequences, and greater attention is needed on how both carers and people with dementia can be supported in shared sessions. Carers should be viewed as participants of programmes, and can even be the main beneficiaries, even where the programme is ostensibly ‘for’ the person with dementia – it’s not simply that carers are the enablers of, or barriers to, the impacts on the person with dementia.
Parametric optimisation of shear thickening fluid treatment for ultra-high molecular weight polyethylene woven fabric
Authors: Bajya Mukesh , Majumdar Abhijit , Butola Bhupendra S , Mawkhlieng Unsanhame , Bhattacharjee Debarati 
Published: September 2022

The shear thickening fluid (STF) treatment enhances the low and high velocity impact resistance performances of para-aramid woven fabrics for soft armour application. This research investigates the effects of important parameters on the STF add on and impact energy absorption with the aim to develop a hybrid soft armour. The STF add-on on ultra-high molecular weight polyethylene (UHMWPE) woven fabrics was varied by altering the silica particle size, dilution ratio of STF and padding pressure. The results of the full factorial design of experiment showed that the energy absorption is independent of the add-on. Further, a soft armour panel (SAP) was made from the STF treated woven fabric. The ballistic performance of the panel was evaluated in terms of back face signature (BFS) against a 9 × 19 mm lead core bullet and was compared to that of a weight equivalent untreated panel. A hybrid SAP with unidirectional (UD) laminates of UHMWPE as strike face layers and STF treated woven fabrics as backing layers was prepared, and the BFS was found to be equivalent to that of a SAP containing 100% UD laminates (∼30 mm). The results imply that a certain number of UD laminate layers can be replaced with STF treated flexible woven fabrics without compromising on the ballistic performance of SAP.
Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trial
Authors: Sheng Yiyang , Doyle Julie , Bond Raymond , Jaiswal Rajesh , Gavin Shane , Dinsmore John 
Published: September 2022

Background Ageing populations are resulting in higher prevalence of people with multiple chronic conditions (multimorbidity). Digital health platforms have great potential to support self-management of multimorbidity, increasing a person's awareness of their health and well-being, supporting a better understanding of diseases and encouraging behaviour change. However, little research has explored the long-term engagement of older adults with such digital interventions. Methods The aim of this study is to analyse how 60 older adults with multimorbidity engaged with digital symptom and well-being monitoring through a digital health platform over a period of approximately 12 months. Data analysis focused on user retention, frequency of monitoring, intervals in monitoring and patterns of daily engagement. Results Our findings show that the overall engagement with the digital health platform was high, with more than 80% of participants using the technology devices for over 200 days. The submission frequency for symptom parameters (e.g. blood glucose (BG), blood pressure (BP), etc.) was between three and four times per week which was higher than that of self-report (2.24) and weight (2.84). Submissions of exercise (6.12) and sleep (5.67) were more frequent. The majority of interactions happened in the morning time. The most common time of submission for symptom parameters was 10 am, whereas 8 am was the most common time for weight measurements. Conclusions The findings indicate the patterns of engagement of older adults with complex chronic diseases with digital home-based self-management systems.
Prevalence and Characteristics of Frailty at 6 months Following Total Hip and Knee Arthroplasty in Patients With End-Stage OA
Authors: Kuwakado So , Kawaguchi Kenichi , Otsuka Hiroshi , Fujita Akio , Kusaba Ryuichi , Tokieda Miki , Fujiyoshi Daisuke , Kamishima Takahide , Fujino Eijiro , Motomura Goro , Hamai Satoshi , Nakashima Yasuharu 
Published: September 2022

Introduction Lower-limb osteoarthritis (OA) in the elderly can be a risk factor for frailty, which is the preliminary of disability, but it may be reversible with appropriate interventions. We aimed to use the Kihon Check List (KCL) to assess multiple domains of frailty and to identify the characteristics of frailty in patients with hip or knee OA following total joint arthroplasty. Materials and Methods This study included 136 ≥ 65-year-old patients (mean age: 73.0 years) who underwent total arthroplasty with end-stage hip and knee OA. We assessed frailty status, instrumental activities of daily living (IADL), and health-related quality of life (HRQoL) according to the KCL, functional ambulatory index (FAI) and EuroQol-5 Dimension (EQ5D), respectively, as well as the extent of pain preoperatively and at postoperative 6 months. Results Using KCL, seventy-eight (57.4%) patients were frail preoperatively, but the prevalence significantly decreased to 52 patients (38.2%) at postoperative 6 months. Total arthroplasty intervention provided significant improvements in the total KCL scores, including the physical domain ( P < .01), pain ( P < .01), FAI scores ( P < .01), and EQ5D ( P < .01), but not the social domain. Multivariate logistic regression analysis identified age at surgery (OR: .93, 95% CI: .86-.99) and preoperative FAI score (OR: 1.10, 95% CI: 1.03-1.19) as independent predictors of postoperative frailty. Conclusions Total arthroplasty procedures on patients with hip and knee OA reduced their KCL score, but social aspects were less improved than physical aspects in the shortterm. Older age and preoperative lower IADL score can be useful for accurately estimating less improvement of frailty in the early postoperative phase. Our results suggest that long term follow-up of OA is needed to provide comprehensive interventions, including in social aspects, especially for patients with lower activity.
Combining default choices and an encounter decision aid to improve tobacco cessation in primary care patients: protocol for a cluster-randomized trial
Authors: Hempel-Bruder Christina , Habfast-Robertson Inès , Durand Marie-Anne , Berlin Ivan , Marti Joachim , Khazaal Yasser , Quinto Carlos , Faouzi Mohamed , Selby Kevin 
Published: September 2022

Abstract
Background

While quitting smoking dramatically decreases overall mortality, general practitioners (GPs) are less likely to prescribe medications for smoking cessation than other cardiovascular risk factors. Guidelines recommend providers first assess patients’ “readiness” to quit, an “opt-in” strategy, but only a minority of tobacco users are ready to quit on a given day. An “opt-out” strategy offering treatment as the default choice increased quit attempts in hospital and with pregnant women, but has not been tested in primary care. We will assess the efficacy of training GPs to offer treatment as the default choice using an encounter decision aid with current smokers seen in primary care.

Methods
This is a pragmatic cluster-randomized controlled superiority trial with block randomization at the GP level in private practice in French-speaking Switzerland. GPs will be blinded to the arm allocation. The intervention is a half-day training course teaching an ‘opt-out’ approach to smoking cessation using an encounter decision aid (paper or electronic). GPs in the enhanced usual care group receives a brief refresher training about smoking cessation without changing their behaviour. GPs in both arms will recruit 23 patients each prior to routine primary care visits. The primary outcome is the effect of consulting a GP who received the intervention on the 7-day, point prevalence, smoking abstinence 6 months after the baseline appointment. Secondary outcomes include continuous abstinence; number of quit attempts; use of smoking cessation aids; patient-perceived involvement in discussions; and changes in GP behaviour. Patient outcomes will be collected using paper and telephone questionnaires. Assuming 15% drop-out, recruiting 46 GPs with 23 patients each will give us 80% power to detect an increase in smoking cessation from 4% (control) to 10.5% (intervention), with an alpha < 0.05.

Discussion
GP visits are an opportunity to administer proven smoking cessation treatments. We hypothesize GPs offering smoking cessation treatment as the default choice using an encounter decision aid will increase the number of patients who quit. This study could significantly change our approach to smoking cessation in primary care. Default choices and the electronic decision aid are low-cost, easily diffusible interventions.

Trial registration
ClinicalTrials.gov Identifier: NCT04868474, First Posted May 3, 2021, Last Update Posted October 6, 2021.
Machine learning-derived prediction of in-hospital mortality in patients with severe acute respiratory infection: analysis of claims data from the German-wide Helios hospital network
Authors: Leiner Johannes , Pellissier Vincent , König Sebastian , Hohenstein Sven , Ueberham Laura , Nachtigall Irit , Meier-Hellmann Andreas , Kuhlen Ralf , Hindricks Gerhard , Bollmann Andreas 
Published: September 2022

Abstract
Background
Severe acute respiratory infections (SARI) are the most common infectious causes of death. Previous work regarding mortality prediction models for SARI using machine learning (ML) algorithms that can be useful for both individual risk stratification and quality of care assessment is scarce. We aimed to develop reliable models for mortality prediction in SARI patients utilizing ML algorithms and compare its performances with a classic regression analysis approach.

Methods
Administrative data (dataset randomly split 75%/25% for model training/testing) from years 2016–2019 of 86 German Helios hospitals was retrospectively analyzed. Inpatient SARI cases were defined by ICD-codes J09-J22. Three ML algorithms were evaluated and its performance compared to generalized linear models (GLM) by computing receiver operating characteristic area under the curve (AUC) and area under the precision-recall curve (AUPRC).

Results
The dataset contained 241,988 inpatient SARI cases (75 years or older: 49%; male 56.2%). In-hospital mortality was 11.6%. AUC and AUPRC in the testing dataset were 0.83 and 0.372 for GLM, 0.831 and 0.384 for random forest (RF), 0.834 and 0.382 for single layer neural network (NNET) and 0.834 and 0.389 for extreme gradient boosting (XGBoost). Statistical comparison of ROC AUCs revealed a better performance of NNET and XGBoost as compared to GLM.

Conclusion
ML algorithms for predicting in-hospital mortality were trained and tested on a large real-world administrative dataset of SARI patients and showed good discriminatory performances. Broad application of our models in clinical routine practice can contribute to patients’ risk assessment and quality management.
Effect of climate change on earthworks of infrastructure: statistical evaluation of the cause of dike pavement cracks
Authors: Illés Zsombor , Nagy László 
Published: September 2022

AbstractThe flood protection embankments of Hungary and Europe face numerous challenges. Some dike bases were constructed more than 200 years ago; since then, they have been elevated and extended. Because of these iterative adaptations, the dikes bear many construction errors, which can trigger failures and slides. Due to climate change, droughts and low-water periods of the rivers in central Europe are becoming more frequent. As a result of these effects, the water balance of the dikes can alter and desiccate in the long term. The most staggering fissures appeared on dikes built from clays susceptible to volume change. The General Directorate of Water Management ordered a comprehensive survey of dike pavement cracks in Hungary. This was one of the most extensive surveys of such kind. Hungary has some 4400 km of primary flood protection embankments, out of which 1250 km is paved. There are multiple reasons why the pavement of an embankment can crack. The main features of crack patterns related to clays with shrink-swell potential are identified. The results of international studies and the present survey are synthesised. The main objective of this paper is to draw a correlation between drought (aridity) zones, plasticity index of the soil samples, and crack thickness.
Population and Poverty in Ireland on the Eve of the Great Famine
Authors: Fernihough Alan , Ó Gráda Cormac 
Published: September 2022

Abstract
We revisit the link between demographic pressure and economic conditions in pre-Famine Ireland and harness highly disaggregated parish-level data from the 1841 census in our analysis. The results indicate that on the eve of the Great Irish Famine of the 1840s, population pressure was positively associated with two measures of poverty—illiteracy and the prevalence of poor-quality housing. Malthus mattered in the sense that our results indicate that a “no population growth” scenario between 1800 and 1841 would have led to a 6% improvement in poor-quality housing and a 4% reduction in illiteracy. However, the strength of this relationship is reduced when additional explanatory factors are considered, and factors relating to location and economic geography offer greater explanatory power. Incorporation of data from the 1821 census reveals that in the two decades before 1841, population growth was fastest in areas under less population pressure, supporting the notion that preventive check forces were at play. These findings are consistent with some elements of Malthusian theory, although ultimately they refute the notion that overpopulation was the principal cause of pre-Famine Irish poverty.