bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identifying key environmental barriers experienced by persons with mild, moderate, or severe disability in Bankim Health District, Cameroon: a policy-targeted secondary analysis of data obtained with the World Bank and WHO model disability survey
Authors: Lee Lindsay , Mou Ferdinand , Um Boock Alphonse , Fellinghauer Carolina , Kohls Mirjam , Cieza Alarcos , Sabariego Carla 
Published: June 2021

AbstractBackgroundComprehensive data is key for evidence-informed policy aiming to improve the lives of persons experiencing different levels of disability. The objective of this paper was to identify the environmental barriers — including physical, social, attitudinal, and political barriers — that might become priorities for cross-cutting policies and policies tailored to the needs of persons experiencing severe disability in Cameroon.MethodsA secondary analysis of data obtained with the WHO Model Disability Survey was completed in the Bankim Health District (N = 559) using random forest regression to determine and compare the impact of the environmental factors on the experience of disability.ResultsThe physical environment had by far the highest influence on disability, with transportation, toilet of the dwelling, and the dwelling itself being the most important factors. Factors inside one’s own home (toilet of the dwelling, and the dwelling itself) were the most important for persons with moderate and severe disability, followed by attitudes of others and issues with accessing health care.ConclusionOur study provides country policy makers with evidence for setting priorities and for the development of evidence-informed policies for the Bankim Health District in Cameroon.
The effects of biodiversity gradient on plant mass and metabolism of individual submerged macrophytes
Authors: Qi Liang-Yu , Zeng Hong-Yuan , Bai Zhong-Xi , Wang Yan-Hong , Liu Li , Zhong Wen , Ye Shi-Yun , Fu Hui , Li Feng , Shao Chang-Liang , Wu Ai-Ping 
Published: June 2021

Abstract
Background
The effects of biodiversity on community function and services are frequently studied in the history of ecology, while the response of individual species to biodiversity remains great elusive. In this study, we determined the biodiversity effects on community productivity as well as species level plant mass and carbon (C) and nitrogen (N) metabolism of eight submerged plants. These macrophytes in Lake Erhai were selected and planted in a water depth of one meter along a diversity gradient of 1, 2, 4 or 8 species. Then, the community productivity or species level plant mass, soluble protein, free amino acid and soluble carbohydrate were correlated to species richness to determine the biodiversity effects on community and single species.

Results
The results showed that the community level biomass was positively correlated to plant species richness although the species level plant mass of individual species responded differently to the overall plant species richness. Namely, only one plant mass positively correlated to species richness and the others decreased or showed no significant correlation with the increase of species richness. The soluble proteins of most macrophytes were positively correlated to species richness; however, both the free amino acid and soluble carbohydrate of the plants were negatively or not significantly correlated to species richness.

Conclusions
These results indicated that the selection effects might dominate in our aquatic communities and the negative impacts of biodiversity on C and N metabolism of the macrophytes increased with the increase of species richness, which might result from the strong competition among the studied species. The biodiversity effects on the plant mass, and C and N metabolism of individual submerged species were first reported in this study, while more such field and control experiments deserve further research.
Biogeographical characteristics of Schistosoma mansoni endemic areas in Ethiopia: a systematic review and meta analysis
Authors: Ponpetch Keerati , Erko Berhanu , Bekana Teshome , Richards Lindsay , Liang Song 
Published: June 2021

AbstractBackgroundIn Ethiopia, schistosomiasis is caused bySchistosoma mansoniandS. haematobiumwith the former being widespread and more than 4 million people are estimated to be infected byS. mansoniannually with 35 million at risk of infection. Although many school- and community-based epidemiological surveys were conducted over the past decades, the national distribution of schistosomiasis endemic areas and associated socio-environmental determinants remain less well understood. In this paper, we reviewS. mansoniprevalence of infections and describe key biogeographical characteristics in the endemic areas in Ethiopia.MethodsWe developed a database ofS. mansoniinfection surveys in Ethiopia through a systematic review by searching articles published between 1975 and 2019 on electronic online databases including PubMed, ScienceDirect, and Web of Science. A total of 62 studies involving 95 survey locations were included in the analysis. We estimated adjusted prevalence of infection from each survey by considering sensitivity and specificity of diagnostic tests using Bayesian approach. All survey locations were georeferenced and associated environmental and geographical characteristics (e.g. elevation, normalized difference vegetation index, soil properties, wealth index, and climatic data) were described using descriptive statistics and meta-analysis.ResultsThe results showed that the surveys exhibited a wide range of adjusted prevalence of infections from 0.5% to 99.5%, and 36.8% of the survey sites had adjusted prevalence of infection higher than 50%.S. mansoniendemic areas were distributed in six regional states with the majority of surveys being in Amhara and Oromia. Endemic sites were found at altitudes from 847.6 to 3141.8 m above sea level, annual mean temperatures between 17.9 and 29.8 ℃, annual cumulative precipitation between 1400 and 1898 mm, normalized difference vegetation index between 0.03 and 0.8, wealth index score between –68 857 and 179 756; and sand, silt, and clay fraction in soil between 19.1–47.2, 23.0–36.7, and 20.0–52.8 g/100 g, respectively.ConclusionsThe distribution ofS. mansoniendemic areas and prevalence of infections exhibit remarked environmental and ecological heterogeneities. Future research is needed to understand how much these heterogeneities drive the parasite distribution and transmission in the region.Graphic Abstract
Contact modeling from images using cut finite element solvers
Authors: Claus S. , Kerfriden P. , Moshfeghifar F. , Darkner S. , Erleben K. , Wong C. 
Published: June 2021

AbstractThis paper presents a robust digital pipeline from CT images to the simulation of contact between multiple bodies. The proposed strategy relies on a recently developed immersed finite element algorithm that is capable of simulating unilateral contact between solids without meshing (Claus and Kerfriden in Int J Numer Methods Eng 113(6):938–966, 2018). It was shown that such an approach reduces the difficulties associated with the digital flow of information from analytically defined geometries to mechanical simulations. We now propose to extend our approach to include geometries, which are not defined mathematically but instead are obtained from images, and encoded in 3D arrays of voxels. This paper introduces two novel elements. Firstly, we reformulate our contact algorithm into an extension of an augmented Lagrangian CutFEM algorithm. Secondly, we develop an efficient algorithm to convert the surface data generated by standard segmentation tools used in medical imaging into level-set functions. These two elements give rise to a robust digital pipeline with minimum user intervention. We demonstrate the capabilities of our algorithm on a hip joint geometry with contact between the femur and the hip bone.
Limitations of using surrogates for behaviour classification of accelerometer data: refining methods using random forest models in Caprids
Authors: Dickinson Eleanor R. , Twining Joshua P. , Wilson Rory , Stephens Philip A. , Westander Jennie , Marks Nikki , Scantlebury David M. 
Published: June 2021

Abstract
Background
Animal-attached devices can be used on cryptic species to measure their movement and behaviour, enabling unprecedented insights into fundamental aspects of animal ecology and behaviour. However, direct observations of subjects are often still necessary to translate biologging data accurately into meaningful behaviours. As many elusive species cannot easily be observed in the wild, captive or domestic surrogates are typically used to calibrate data from devices. However, the utility of this approach remains equivocal.

Methods
Here, we assess the validity of using captive conspecifics, and phylogenetically-similar domesticated counterparts (surrogate species) for calibrating behaviour classification. Tri-axial accelerometers and tri-axial magnetometers were used with behavioural observations to build random forest models to predict the behaviours. We applied these methods using captive Alpine ibex (Capra ibex) and a domestic counterpart, pygmy goats (Capra aegagrus hircus), to predict the behaviour including terrain slope for locomotion behaviours of captive Alpine ibex.

Results
Behavioural classification of captive Alpine ibex and domestic pygmy goats was highly accurate (> 98%). Model performance was reduced when using data split per individual, i.e., classifying behaviour of individuals not used to train models (mean ± sd = 56.1 ± 11%). Behavioural classifications using domestic counterparts, i.e., pygmy goat observations to predict ibex behaviour, however, were not sufficient to predict all behaviours of a phylogenetically similar species accurately (> 55%).

Conclusions
We demonstrate methods to refine the use of random forest models to classify behaviours of both captive and free-living animal species. We suggest there are two main reasons for reduced accuracy when using a domestic counterpart to predict the behaviour of a wild species in captivity; domestication leading to morphological differences and the terrain of the environment in which the animals were observed. We also identify limitations when behaviour is predicted in individuals that are not used to train models. Our results demonstrate that biologging device calibration needs to be conducted using: (i) with similar conspecifics, and (ii) in an area where they can perform behaviours on terrain that reflects that of species in the wild.
Synergistic nanoarchitecture of mesoporous carbon and carbon nanotubes for lithium–oxygen batteries
Authors: Kim Yeongsu , Yun Jonghyeok , Shin Hyun-Seop , Jung Kyu-Nam , Lee Jong-Won 
Published: June 2021

AbstractA rechargeable lithium–oxygen battery (LOB) operates via the electrochemical formation and decomposition of solid-state Li2O2 on the cathode. The rational design of the cathode nanoarchitectures is thus required to realize high-energy-density and long-cycling LOBs. Here, we propose a cathode nanoarchitecture for LOBs, which is composed of mesoporous carbon (MPC) integrated with carbon nanotubes (CNTs). The proposed design has the advantages of the two components. MPC provides sufficient active sites for the electrochemical reactions and free space for Li2O2 storage, while CNT forests serve as conductive pathways for electron and offer additional reaction sites. Results show that the synergistic architecture of MPC and CNTs leads to improvements in the capacity (~ 18,400 mAh g− 1), rate capability, and cyclability (~ 200 cycles) of the CNT-integrated MPC cathode in comparison with MPC.
Anti-proliferative, antioxidant effects of methanol extract of Calotropis procera leaf on lung cancer cells (H1299) and its ameliorative effect on expression of CD146 on blood cells
Authors: Olajuyin Ayobami Matthew , Olajuyin Adefunke Kafayat , Wang Ziqi , Zhao Xingru , Xu Zhiwei , Zhang Quncheng , Zhang Xiaoju 
Published: June 2021

Abstract
Background
Calotropis procera leaf is one of the plants commonly utilized in phytomedicine in Nigeria. The present investigation explored the use of the extracts on cell viability and apoptosis respectively. In this study, the expression of the Cluster of differentiation 146 (CD146) in the blood of lung cancer patients on regulatory T cells (Tregs) was determined. The antioxidant and anti-proliferative effects of methanol extracts of Caloropis procera leaf on lung cancer cell H1299 were investigated.

Methods
From the flow cytometry, the expression of the CD146+ in the T cells were evaluated using the healthy patient, adenocarcinoma, squamous, and small cell lung cancer respectively. The apoptosis of granulocytes, monocytes, lymphocytes, CD4+, and Treg were determined by 7-amino-actinomycin D/Annexin V-Allophycocyanin (APC) staining during the resting stage and after 24 h respectively. Immunofluorescence was conducted. Cell viability assay, hydroxyl (OH), hydrogen peroxide (H2O2) and nitric oxide (NO) scavenging radicals were conducted. Reducing power and flavonoid content of Calotropis procera were investigated. The effect of the Calotropis procera at different concentrations at 24hrs was determined.

Results
From the flow cytometry, the expression of the CD146+ on the T cells includes 4.60 % in healthy patients, 10.10, 12.20, 9.80 % in adenocarcinoma, squamous and small cell lung cancer. The apoptosis of granulocytes, monocytes, lymphocytes, CD4+ and Treg were determined by 7-amino-actinomycin D/Annexin V-APC staining during the resting stage and after 24 h which indicate that apoptosis also occurred on Treg. Immunofluorescence shows the presence of CD146 in lung cancer patient’s tissues. The methanol extracts of Calotropis procera leaf have antioxidant and anti-proliferative effects. Methanol extract of Calotropis procera leaf reduced CD146 expression on blood cells at 24 h.

Conclusion
Increased CD146 expression in the Treg of lung cancer patients indicates that it may be a possible target for the treatment of lung cancer by utilizing potent immunotherapy or natural products such as methanol extract of Calotropis procera leaf which may ameliorate the expression of CD146. Calotropis procera has antioxidant, inhibitory capacity on H1299 lung cancer cells, and the ability to scavenge OH, H2O2, and NO radicals. Hence, this investigation strengthens the phyto-medicinal properties of Calotropis procera.
Isolated congenital cleft mitral valve leaflet: a rare cause of refractory cardiogenic shock complicating acute myocardial infarction
Authors: Bahrami Mubashir H. , Ansari Hamza Z. , Guglin Maya , Ephrem Georges , Revtyak George E. 
Published: June 2021

AbstractWe report a unique presentation of isolated congenital cleft mitral valve complicating cardiogenic shock from acute myocardial infarction. Isolated cleft mitral valve is an uncommon diagnosis that can have significant clinical implications, especially if not recognized in patients presenting to the catheterization lab with acute myocardial infarction and cardiogenic shock. A review of this rare diagnosis including the options and timing of therapeutic interventions, which can include MitraClip, is important for publication.The case is of a patient who presented with an anterior acute ST elevation myocardial infarction. Despite early coronary revascularization and conventional support, refractory cardiogenic shock ensued requiring mechanical circulatory support escalation to Veno-arterial extracorporeal membrane oxygenation. Subsequently, left ventriculography revealed a massively dilated left atrium and severe mitral regurgitation raising concerns for a mechanical mitral valve complication. The patient was taken to the operating room for possible mitral valve surgery, but a preoperative transesophageal echocardiogram revealed an isolated posterior cleft mitral valve. Since the patient had stabilized on mechanical circulatory support, emergent surgery was deferred. The patient successfully recovered during index hospitalization with mechanical circulatory support and discharged on guideline directed medical therapy.In conclusion, isolated cleft mitral valve is a rare diagnosis that can often be underrecognized without comprehensive 3-dimensional transesophageal echocardiography evaluation. If diagnosed early with significant regurgitation, surgical treatment results in good outcomes and preservation of LV systolic function. Percutaneous correction of a CMVL with MitraClip has been described and may offer an alternative approach for high risk surgical patients.
The role of heterocyclic aromatic amines in colorectal cancer: the evidence from epidemiologic studies
Authors: Le Marchand Loïc 
Published: June 2021

AbstractSince Dr. Sugimura’s discovery of heterocyclic aromatic amines (HAA) in broiled fish, many epidemiological studies have been conducted to investigate their role in human cancers, often focusing on colorectal cancer. The difficulty in measuring HAA exposure from meat and fish intake in these studies has resulted in inconsistent findings. Because studying individuals who may be particularly susceptible to the carcinogenic effects of HAA might facilitate the demonstration of a link with cancer, multiple studies have focused on individuals with the high activity phenotype for CYP1A2 and/or NAT2, the two main metabolic enzymes involved in the bioactivation of HAA. These investigations have also yielded inconsistent results. Two recent large pooled analyses of colorectal cancer studies have helped clarify the overall evidence. One was conducted in whites and reported no interaction of red meat intake and NAT2 genotype on risk in Whites. The other was conducted in Japanese and African Americans, two populations with high rates of the disease and a prevalence of the at-risk rapid NAT2 phenotype 10- and 2-fold greater than in whites, respectively. In those groups, a significant interaction was found, with the association of red meat with colorectal cancer being strongest among individuals with the rapid NAT2 phenotype, intermediate among those with the intermediate phenotype and not significant among those with the slow NAT2 phenotype. Recent research on biomarkers has focused on PhIP hair content, as a marker of exposure to HAA, and on DNA adducts using new sensitive quantitative methods, as markers of early biological effects. These advances, when brought to bear, may contribute greatly to the further elucidation of the carcinogenicity of HAA in humans.
Machine Learning Methods to Identify Missed Cases of Bladder Cancer in Population-Based Registries
Authors: Noone Anne-Michelle , Lam Clara J. K. , Smith Angela B. , Nielsen Matthew E. , Boyd Eric , Mariotto Angela B. , Banerjee Mousumi 
Published: June 2021

PURPOSE Population-based cancer incidence rates of bladder cancer may be underestimated. Accurate estimates are needed for understanding the burden of bladder cancer in the United States. We developed and evaluated the feasibility of a machine learning–based classifier to identify bladder cancer cases missed by cancer registries, and estimated the rate of bladder cancer cases potentially missed. METHODS Data were from population-based cohort of 37,940 bladder cancer cases 65 years of age and older in the SEER cancer registries linked with Medicare claims (2007-2013). Cases with other urologic cancers, abdominal cancers, and unrelated cancers were included as control groups. A cohort of cancer-free controls was also selected using the Medicare 5% random sample. We used five supervised machine learning methods: classification and regression trees, random forest, logic regression, support vector machines, and logistic regression, for predicting bladder cancer. RESULTS Registry linkages yielded 37,940 bladder cancer cases and 766,303 cancer-free controls. Using health insurance claims, classification and regression trees distinguished bladder cancer cases from noncancer controls with very high accuracy (95%). Bacille Calmette-Guerin, cystectomy, and mitomycin were the most important predictors for identifying bladder cancer. From 2007 to 2013, we estimated that up to 3,300 bladder cancer cases in the United States may have been missed by the SEER registries. This would result in an average of 3.5% increase in the reported incidence rate. CONCLUSION SEER cancer registries may potentially miss bladder cancer cases during routine reporting. These missed cases can be identified leveraging Medicare claims and data analytics, leading to more accurate estimates of bladder cancer incidence.
Impact of Palliative Care Involvement on End-of-Life Care Patterns Among Adolescents and Young Adults With Cancer: A Population-Based Cohort Study
Authors: Kassam Alisha , Gupta Abha , Rapoport Adam , Srikanthan Amirrtha , Sutradhar Rinku , Luo Jin , Widger Kimberley , Wolfe Joanne , Earle Craig , Gupta Sumit 
Published: June 2021

PURPOSE Evidence suggests that adolescents and young adults (AYAs) with cancer (defined as age 15-39 years) receive high-intensity (HI) medical care at the end-of-life (EOL). Previous population-level studies are limited and lack information on the impact of palliative care (PC) provision. We evaluated prevalence and predictors of HI-EOL care in AYAs with cancer in Ontario, Canada. A secondary aim was to evaluate the impact of PC physicians on the intensity of EOL care in AYAs. METHODS A retrospective decedent cohort of AYAs with cancer who died between 2000 and 2017 in Ontario, Canada, was assembled using a provincial registry and linked to population-based health care data. On the basis of previous studies, the primary composite measure HI-EOL care included any of the following: intravenous chemotherapy < 14 days from death, more than one emergency department visit, and more than one hospitalization or intensive care unit admission < 30 days from death. Secondary measures included the most invasive (MI) EOL care (eg, mechanical ventilation < 14 days from death) and PC physician involvement. We determined predictors of outcomes using appropriate regression models. RESULTS Of 7,122 AYAs, 43.8% experienced HI-EOL care. PC physician involvement (odds ratio [OR], 0.57; 95% CI, 0.51 to 0.63) and older age at death (OR, 0.60; 95% CI, 0.48 to 0.74) were associated with a lower risk of HI-EOL care. AYAs with hematologic malignancies were at highest risk for HI and MI-EOL care. PC physician involvement substantially reduced the odds of mechanical ventilation at EOL (OR, 0.36; 95% CI, 0.30 to 0.43). CONCLUSION A large proportion of AYAs with cancer experience HI-EOL care. Our study provides strong evidence that PC physician involvement can help mitigate the risk of HI and MI-EOL care in AYAs with cancer.