bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient engraftment of pluripotent stem cell-derived myogenic progenitors in a novel immunodeficient mouse model of limb girdle muscular dystrophy 2I
Authors: Azzag Karim , Ortiz-Cordero Carolina , Oliveira Nelio A. J. , Magli Alessandro , Selvaraj Sridhar , Tungtur Sudheer , Upchurch Weston , Iaizzo Paul A. , Lu Qi Long , Perlingeiro Rita C. R. 
Published: April 2020

Abstract
Background
Defects in α-dystroglycan (DG) glycosylation characterize a group of muscular dystrophies known as dystroglycanopathies. One of the key effectors in the α-DG glycosylation pathway is the glycosyltransferase fukutin-related protein (FKRP). Mutations in FKRP lead to a large spectrum of muscular dystrophies, including limb girdle muscular dystrophy 2I (LGMD2I). It remains unknown whether stem cell transplantation can promote muscle regeneration and ameliorate the muscle wasting phenotype associated with FKRP mutations.

Results
Here we transplanted murine and human pluripotent stem cell-derived myogenic progenitors into a novel immunodeficient FKRP-mutant mouse model by intra-muscular injection. Upon both mouse and human cell transplantation, we observe the presence of donor-derived myofibers even in absence of pre-injury, and the rescue of α-DG functional glycosylation, as shown by IIH6 immunoreactivity. The presence of donor-derived cells expressing Pax7 under the basal lamina is indicative of satellite cell engraftment, and therefore, long-term repopulation potential. Functional assays performed in the mouse-to-mouse cohort revealed enhanced specific force in transplanted muscles compared to PBS-injected controls.

Conclusions
Altogether, our data demonstrate for the first time the suitability of a cell-based therapeutic approach to improve the muscle phenotype of dystrophic FKRP-mutant mice.
A One Health framework for integrated service delivery in Turkana County, Kenya
Authors: Griffith Evan F. , Kipkemoi Job Ronoh , Robbins Alison H. , Abuom Tequiero O. , Mariner Jeffrey C. , Kimani Tabitha , Amuguni Hellen 
Published: April 2020

AbstractPastoralists in sub-Saharan Africa have limited access to public services due to their mobile lifestyle, economic and political marginalization, and the limited health infrastructure that is common to arid and semi-arid lands (ASALs) where they primarily reside. This often results in poor health outcomes, including increased rates of maternal, neonatal, and under-5 mortality. One Health approaches that integrate human and animal health service delivery can help to improve pastoralists’ health through increased vaccine coverage and improved access to services.Kenya has institutionalized One Health at the national level; however, progress at the subnational level has been limited due to sustainability concerns, competing priorities, and insufficient coordination platforms. To address this gap, this paper presents a One Health framework (OHF) to aid in the implementation of integrated human and animal health policies in Turkana County, which can act as a model for other ASALs. Utilizing a grounded theory design, we conducted semi-structured interviews and focus group discussions with human health, animal health, and pastoralist stakeholders. Inadequate engagement with the public sector was identified as a major limitation by community members. Factors that contributed to this include distance to health facilities and restricted department capacities such as availability of vehicles, personnel, and cold chain maintenance.Our proposed OHF harnesses the existing structure of service delivery in Turkana and establishes an official coordination mechanism to implement One Health activities, through the form of mobile “One Health Huduma Centres”, offering a range of public services. This innovative framework is supported by stakeholders in Turkana and can improve service delivery constraints thereby improving the health of Turkana pastoralists.
Knowledge and practices surrounding zoonotic disease among Mongolian herding households
Authors: Barnes Amber N. , Baasandavga Uyanga , Davaasuren Anu , Gonchigoo Battsetseg , Gray Gregory C. 
Published: April 2020

AbstractThe strong bond between herder and livestock was forged centuries ago in rural Mongolia and remains an element of national pride and a cornerstone to the economy. However, semi-nomadic herders frequently live at the edge of human health care, veterinary services, and municipal infrastructure like water and sanitation. This study examined zoonotic risk factors and disease perceptions among 150 rural herding households. Less than half of the participating households used an improved drinking water source (43.3%), and the majority of herding families did not use an improved sanitation service (68.5%). Almost half of the study population practise open defaecation (49.7%). Hand washing occurs after animal contact (78%) but not after defaecation/urination (76.6%). Domestic animal ownership and/or presence was reported at every household, and exposure risks varied by the gender of the household member. Most households had knowledge about zoonotic disease transmission (74%) but far less recognized the risk of reverse zoonoses, or human-to-animal disease transmission (53.3%). Few survey respondents believed that animal contact is a risk factor for diarrhoeal disease (8.7%). This study highlights zoonotic disease exposure risks from animal husbandry practices and inadequate water, sanitation, and hygiene access and behaviours among rural herding households. Zoonotic disease prevention among Mongolian herders should be implemented using a One Health framework to simultaneously address human, animal, and environmental health concerns of rural herding households.
Performance analysis of user association strategy based on power-domain non-orthogonal multiple access in visible light communication multi-cell networks
Authors: Tao Siyu , Yu Hongyi , Li Qing , Tang Yanqun 
Published: April 2020

AbstractA multi-cell visible light communication (VLC) network with non-orthogonal multiple access (NOMA) introduces an inter-cell interference (ICI), which causes poor experience of overlap-area user association. In this study, we focus on the strategic analysis of user association in multi-cell NOMA-VLC networks and reveal the relationship between the performance of user association and visible-light cell deployment. First, we establish the model of power-domain NOMA in multiple cells of VLC. Second, when the principle of proximity access (PPA) considers channel attenuation, we present the violation of the principle of proximity access (VPPA) based on signal-to-interference-plus-noise ratio (SINR) and derive a closed-form sufficient condition for overlap-area users based on the visible light channels. Third, based on the sufficient condition, we perform the strategic analysis of user association in two cases, i.e., the scenario probability with different numbers of users and the probability of the ratio of channel gains with an edge user are deduced. In addition, we evaluate the performance of user association by the deployment of lighting angles and inter-cell distance. Finally, the simulation results indicate that the VPPA achieves better data rate performance than the PPA based on the sufficient condition. Furthermore, the probability distributions in numerical results show that the situations with the VPPA reach a certain scale of occurrence probability.
An improved range-free location algorithm for industrial wireless sensor networks
Authors: Li Xiangjun , Wang Kexuan , Liu Bocheng , Xiao Juxin , Han Songyuan 
Published: April 2020

AbstractIn the traditional DV-Hop location algorithm, the number of hops within the communication radius is counted as one hop. However, in the case of uneven distribution of nodes, this method will bring a large error to the calculation of hop distance. In order to solve the above problems, an improved DV-Hop location algorithm with multiple communication radius is proposed in this paper. Based on the multi-communication radius location algorithm, the method uses the cosine theorem to correct the hop number and estimated the average hop distance, and optimizes the estimated distance of the unknown node. The algorithm uses multiple communication radius to broadcast the position to obtain the minimum number of hops between the unknown node and the beacon node and adjusts the estimated hop distance by using the cosine theorem after estimating the good hop distance, and finally uses the trilateration method, or the maximum likelihood estimation method estimates the position coordinates. The experimental results show that compared with the traditional DV-Hop algorithm and DDV-Hop algorithm, the improved DV-Hop algorithm improves the positioning accuracy and reduces the average positioning error of the unknown nodes.
Generating nonisospectral integrable hierarchies via a new scheme
Authors: Wang Haifeng , Zhang Yufeng 
Published: April 2020

AbstractIn the paper, an efficient and straightforward method for generating nonisospectral integrable hierarchies is introduced. It follows that we consider the application related to Lie algebra $\operatorname{gl}(3)$gl(3) based on the method. Then, we derive a nonisospectral integrable hierarchy whose some new symmetries are also investigated. In addition, a few conserved quantities of the nonisospectral integrable hierarchies are also obtained.
Fractional dynamical analysis of measles spread model under vaccination corresponding to nonsingular fractional order derivative
Authors: Nazir Ghazala , Shah Kamal , Alrabaiah Hussam , Khalil Hammad , Khan Rahmat Ali 
Published: April 2020

AbstractIn this paper, our main purpose is to present an analytical solution for measles spread model with three doses of vaccination using Caputo–Fabrizio fractional derivative (CFFD). The presented solution is based on Laplace transform with Adomian decomposition method (LADM), which is an effective technique to obtain a solution for such type of problems. Our solution involves nonlinear differential equations of fractional order (FODEs) with non-singular kernel. Also, we provide analysis to verify the existence of a solution to the considered model using fixed point theory. Numerical results are presented to verify the model building analysis, which proved to be efficient in solving such problems.
Transient ischemic attack analysis through non-contact approaches
Authors: Zhang Qing , Li Yajun , Al-Turjman Fadi , Zhou Xihui , Yang Xiaodong 
Published: April 2020

Abstract
The transient ischemic attack (TIA) is a kind of sudden disease, which has the characteristics of short duration and high frequency. Since most patients can return to normal after the onset of the disease, it is often neglected. Medical research has proved that patients are prone to stroke in a relatively short time after the transient ischemic attacks. Therefore, it is extremely important to effectively monitor transient ischemic attack, especially for elderly people living alone. At present, video monitoring and wearing sensors are generally used to monitor transient ischemic attacks, but these methods have certain disadvantages. In order to more conveniently and accurately monitor transient ischemic attack in the indoor environment and improve risk management of stroke, this paper uses a microwave sensing platform working in C-Band (4.0 GHz–8.0 GHz) to monitor in a non-contact way. The platform first collects data, then preprocesses the data, and finally uses principal component analysis to reduce the dimension of the data. Two machine learning algorithms support vector machine (SVM) and random forest (RF) are used to establish prediction models respectively. The experimental results show that the accuracy of SVM and RF approaches are 97.3% and 98.7%, respectively; indicating that the scheme described in this paper is feasible and reliable.
Severity and outcomes of influenza-related pneumonia in type A and B strains in China, 2013–2019
Authors: Chen Liang , Han Xiu-Di , Li Yan-Li , Zhang Chun-Xiao , Xing Xi-Qian 
Published: April 2020

Abstract
Background
Inconsistencies exist regarding the severity of illness caused by different influenza strains. The aim of this study was to compare the clinical outcomes of hospitalized adults and adolescents with influenza-related pneumonia (Flu-p) from type A and type B strains in China.

Methods
We retrospectively reviewed data from Flu-p patients in five hospitals in China from January 2013 to May 2019. Multivariate logistic and Cox regression models were used to assess the effects of influenza virus subtypes on clinical outcomes, and to explore the risk factors of 30-day mortality for Flu-p patients.

Results
In total, 963 laboratory-confirmed influenza A-related pneumonia (FluA-p) and 386 influenza B-related pneumonia (FluB-p) patients were included. Upon adjustment for confounders, multivariate logistic regression models showed that FluA-p was associated with an increased risk of invasive ventilation (adjusted odds ratio [aOR]: 3.824, 95% confidence interval [CI]: 2.279–6.414; P <  0.001), admittance to intensive care unit (aOR: 1.630, 95% CI: 1.074–2.473, P = 0.022) and 30-day mortality (aOR: 2.427, 95% CI: 1.568–3.756, P <  0.001) compared to FluB-p. Multivariate Cox regression models confirmed that influenza A virus infection (hazard ratio: 2.637, 95% CI: 1.134–6.131, P = 0.024) was an independent predictor for 30-day mortality in Flu-p patients.

Conclusions
The severity of illness and clinical outcomes of FluA-p patients are more severe than FluB-p. This highlights the importance of identifying the virus strain during the management of severe influenza.
Measurement of 1–10 Hz 3D vibration modes with a CT-scanner
Authors: Jailin Clément , Jailin Thomas , Roux Stéphane 
Published: April 2020

AbstractA new in situ vibration mode measurement method within a tomograph is proposed based on Projection-based Digital Volume Correlation techniques. Several projection angles are selected and a large number of radiographs of the vibrating sample are acquired at random instants with a small exposure time in order to ‘freeze out’ the displacement and avoid motion blurring. Based on an initial reconstruction acquired in a static configuration, the displacement field measurement is performed using a Proper Generalized Decomposition technique. All projections are analyzed as being due to a few vibration modes deforming the known reference volume. The different projection directions are related to each other assuming that the modal amplitude probability distribution functions are statistically similar. A synthetic test case, mock-up of a liver, is used to illustrate and validate the approach. In this case, 5 projection angles were chosen, 300 radiographs per angle, and the first three vibration modes could be recovered with a good accuracy.
Prevalence of depression and anxiety and correlations between depression, anxiety, family functioning, social support and coping styles among Chinese medical students
Authors: Shao Ruyue , He Ping , Ling Bin , Tan Li , Xu Lu , Hou Yanhua , Kong Liangsheng , Yang Yongqiang 
Published: April 2020

Abstract
Background
Medical students experience depression and anxiety at a higher rate than the general population or students from other specialties. While there is a growing literature on the high prevalence of depression and anxiety symptoms and about potential risk factors to the prevalence of depression and anxiety symptoms among medical students, there is a paucity of evidence focused on the prevalence of depression and anxiety symptoms and associations with family function, social support and coping styles in Chinese vocational medicine students. This study aims to investigate the prevalence of depression and anxiety symptoms among Chinese medical students and assess the correlation between depression/anxiety symptoms and family function, social support and coping styles.

Methods
A sample of 2057 medical students from Chongqing Medical and Pharmaceutical College in China was investigated with a self-report questionnaire, which included demographic information, Zung self-rating depression scale, Zung Self-Rating Anxiety Scale, Family APGAR Index, Social Support Rating Scale and Trait Coping Style Questionnaire.

Results
The prevalence of depression and anxiety symptoms among the medical students was 57.5 and 30.8%, respectively. Older students(≥20 years) experienced higher levels of depression and anxiety. More depression and anxiety symptoms were exhibited among students with big financial burden, big study-induced stress and poor sleep quality. Students with large employment pressure showed more anxiety symptoms. Students who live alone or had bad relationship with their lovers or classmates or friends showed higher depression and anxiety scores. Depression and anxiety symptoms had highly significant correlations with family functioning, social support and coping style.

Conclusions
Academic staffs should take measures to reduce depression and anxiety among medical students and to provide educational counseling and psychological support for students to cope with these problems.
Correction to: Assessment of a virtual reality temporal bone surgical simulator: A national face and content validity study
Authors: Compton Evan C. , Agrawal Sumit K. , Ladak Hanif M. , Chan Sonny , Hoy Monica , Nakoneshny Steven C. , Siegel Lauren , Dort Joseph C. , Lui Justin T. 
Published: April 2020

Following publication of the original article [1], the authors identified incorrect ordering and incorrect files being used for Figs. 1, 2 and 3.
Research and trends in STEM education: a systematic analysis of publicly funded projects
Authors: Li Yeping , Wang Ke , Xiao Yu , Froyd Jeffrey E. , Nite Sandra B. 
Published: April 2020

AbstractTaking publicly funded projects in STEM education as a special lens, we aimed to learn about research and trends in STEM education. We identified a total of 127 projects funded by the Institute of Education Sciences (IES) of the US Department of Education from 2003 to 2019. Both the number of funded projects in STEM education and their funding amounts were high, although there were considerable fluctuations over the years. The number of projects with multiple principal investigators increased over time. The project duration was typically in the range of 3–4 years, and the goals of these projects were mostly categorized as “development and innovation” or “efficacy and replication.” The majority of the 127 projects focused on individual STEM disciplines, especially mathematics. The findings, based on IES-funded projects, provided a glimpse of the research input and trends in STEM education in the USA, with possible implications for developing STEM education research in other education systems around the world.
3D printing of radioactive phantoms for nuclear medicine imaging
Authors: Läppchen Tilman , Meier Lorenz P. , Fürstner Markus , Prenosil George A. , Krause Thomas , Rominger Axel , Klaeser Bernd , Hentschel Michael 
Published: April 2020

Abstract
Background
For multicenter clinical studies, PET/CT and SPECT/CT scanners need to be validated to ensure comparability between various scanner types and brands. This validation is usually performed using hollow phantoms filled with radioactive liquids. In recent years, 3D printing technology has gained increasing popularity for manufacturing of phantoms, as it is cost-efficient and allows preparation of phantoms of almost any shape. So far, however, direct 3D printing with radioactive building materials has not yet been reported. The aim of this work was to develop a procedure for preparation of 99mTc-containing building materials and demonstrate successful application of this material for 3D printing of several test objects.

Method
The desired activity of a [99mTc]pertechnetate solution eluted from a 99Mo/99mTc-generator was added to the liquid 3D building material, followed by a minute amount of trioctylphosphine. The resulting two-phase mixture was thoroughly mixed. Following separation of the phases and chemical removal of traces of water, the radioactive building material was diluted with the required volume of non-radioactive building material and directly used for 3D printing.

Results
Using our optimized extraction protocol with trioctylphosphine as complex-forming phase transfer agent, technetium-99m was efficiently transferred from the aqueous 99Mo/99mTc-generator eluate into the organic liquid resin monomer. The observed radioactivity concentration ratio between the organic phase and the water phase was > 2000:1. The radioactivity was homogeneously distributed in the liquid resin monomer. We did not note differences in the 3D printing behavior of the radiolabeled and the unlabeled organic liquid resin monomers. Radio-TLC and SPECT studies showed homogenous 2D and 3D distribution of radioactivity throughout the printed phantoms. The radioactivity was stably bound in the resin, apart from a small amount of surface-extractable radioactivity under harsh conditions (ethanol at 50 °C).

Conclusions
3D printing of radioactive phantoms using 99mTc-containing building materials is feasible. Compared to the classical fillable phantoms, 3D printing with radioactive building materials allows manufacturing of phantoms without cold walls and in almost any shape. Related procedures with longer-lived radionuclides will enable production of phantoms for scanner validation and quality control.
Mapping data gaps to estimate biomass across Brazilian Amazon forests
Authors: Tejada Graciela , Görgens Eric Bastos , Ovando Alex , Ometto Jean Pierre 
Published: April 2020

Abstract
Background
Tropical forests play a fundamental role in the provision of diverse ecosystem services, such as biodiversity, climate and air quality regulation, freshwater provision, carbon cycling, agricultural support and culture. To understand the role of forests in the carbon balance, aboveground biomass (AGB) estimates are needed. Given the importance of Brazilian tropical forests, there is an urgent need to improve AGB estimates to support the Brazilian commitments under the United Nations Framework Convention on Climate Change (UNFCCC). Many AGB maps and datasets exist, varying in availability, scale and coverage. Thus, stakeholders, policy makers and scientists must decide which AGB product, dataset or combination of data to use for their particular goals. In this study, we assessed the gaps in the spatial AGB data across the Brazilian Amazon forests not only to orient the decision makers about the data that are currently available but also to provide a guide for future initiatives.

Results
We obtained a map of the gaps in the forest AGB spatial data for the Brazilian Amazon using statistics and differences between AGB maps and a spatial multicriteria evaluation that considered the current AGB datasets. The AGB spatial data gap map represents areas with good coverage of AGB data and, consequently, the main gaps or priority areas where further biomass assessments should focus, including the northeast of Amazon State, Amapá and northeast of Pará. Additionally, by quantifying the variability in both the AGB maps and field data on multiple environmental factors, we provide valuable elements for understanding the current AGB data as a function of climate, soil, vegetation and geomorphology.

Conclusions
The map of AGB data gaps could become a useful tool for policy makers and different stakeholders working on National Communications, Reducing Emissions from Deforestation and Degradation (REDD+), or carbon emissions modeling to prioritize places to implement further AGB assessments. Only 0.2% of the Amazon biome forest is sampled, and extensive effort is necessary to improve what we know about the tropical forest.