bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bone marrow derived mesenchymal stem cells pretreated with erythropoietin accelerate the repair of acute kidney injury
Authors: Zhou Song , Qiao Yu-ming , Liu Yong-guang , Liu Ding , Hu Jian-min , Liao Jun , Li Min , Guo Ying , Fan Li-pei , Li Liu-Yang , Zhao Ming 
Published: November 2020

AbstractBackgroundMesenchymal stem cells (MSCs) represent a promising treatment option for acute kidney injury (AKI). The main drawbacks of MSCs therapy, including the lack of specific homing after systemic infusion and early cell death in the inflammatory microenvironment, directly affect the therapeutic efficacy of MSCs. Erythropoietin (EPO)-preconditioning of MSCs promotes their therapeutic effect, however, the underlying mechanism remains unknown. In this study, we sought to investigate the efficacy and mechanism of EPO in bone marrow derived mesenchymal stem cells (BMSCs) for AKI treatment.ResultsWe found that incubation of BMSCs with ischemia/reperfusion(I/R)-induced AKI kidney homogenate supernatant (KHS) caused apoptosis in BMSCs, which was decreased by EPO pretreatment, indicating that EPO protected the cells from apoptosis. Further, we showed that EPO up-regulated silent information regulator 1 (SIRT1) and Bcl-2 expression and down-regulated p53 expression. This effect was partially reversed by SIRT1 siRNA intervention. The anti-apoptotic effect of EPO in pretreated BMSCs may be mediated through the SIRT1 pathway. In a rat AKI model, 24 h after intravenous infusion, GFP-BMSCs were predominantly located in the lungs. However, EPO pretreatment reduced the lung entrapment of BMSCs and increased their distribution in the target organs. AKI rats infused with EPO-BMSCs had significantly lower levels of serum IL-1β and TNF-α, and a significantly higher level of IL-10 as compared to rats infused with untreated BMSCs. The administration of EPO-BMSCs after reperfusion reduced serum creatinine, blood urea nitrogen, and pathological scores in I/R-AKI rats more effectively than BMSCs treatment did.ConclusionsOur data suggest that EPO pretreatment enhances the efficacy of BMSCs to improve the renal function and pathological presentation of I/R-AKI rats.
On existence–uniqueness results for proportional fractional differential equations and incomplete gamma functions
Authors: Laadjal Zaid , Abdeljawad Thabet , Jarad Fahd 
Published: November 2020

AbstractIn this article, we employ the lower regularized incomplete gamma functions to demonstrate the existence and uniqueness of solutions for fractional differential equations involving nonlocal fractional derivatives (GPF derivatives) generated by proportional derivatives of the form$$ D^{\rho }= (1-\rho )+ \rho D, \quad \rho \in [0,1], $$Dρ=(1−ρ)+ρD,ρ∈[0,1],whereDis the ordinary differential operator.
Health care utilisation for treatment of injuries among immigrants in Norway: a nationwide register linkage study
Authors: Ohm Eyvind , Holvik Kristin , Kjøllesdal Marte Karoline Råberg , Madsen Christian 
Published: November 2020

AbstractBackgroundPrevious research has generally found lower rates of injury incidence in immigrant populations than in native-born populations. Most of this literature relies on mortality statistics or hospital data, and we know less about injuries treated in primary health care. The aim of the present study was to assess use of primary and secondary care for treatment of injuries among immigrants in Norway according to geographic origin and type of injury.MethodsWe conducted a nationwide register-based cohort study of all individuals aged 25–64 years who resided in Norway as of January 1st 2008. This cohort was followed through 2014 by linking sociodemographic information and injury data from primary and secondary care. We grouped immigrants into six world regions of origin and identified immigrants from the ten most frequently represented countries of origin. Six categories of injury were defined: fractures, superficial injuries, open wounds, dislocations/sprains/strains, burns and poisoning. Poisson regression models were fitted to estimate incidence rate ratios separately for injuries treated in primary and secondary care according to immigrant status, geographic origin and type of injury, with adjustment for sex, age, county of residence, marital status and socioeconomic status.ResultsImmigrants had a 16% lower incidence of injury in primary care than non-immigrants (adjusted IRR = 0.84, 95% CI 0.83–0.84), and a 10% lower incidence of injury in secondary care (adjusted IRR = 0.90, 95% CI 0.90–0.91). Immigrants from Asia, Africa and European countries outside EU/EEA had lower rates than non-immigrants for injuries treated in both primary and secondary care. Rates were lower in immigrants for most injury types, and in particular for fractures and poisoning. For a subset of injuries treated in secondary care, we found that immigrants had lower rates than non-immigrants for treatment of self-harm, falls, sports injuries and home injuries, but higher rates for treatment of assault, traffic injuries and occupational injuries.ConclusionsHealth care utilisation for treatment of injuries in primary and secondary care in Norway was lower for immigrants compared to non-immigrants. Incidence rates were especially low for immigrants originating from Asia, Africa and European countries outside EU/EEA, and for treatment of fractures, poisoning, self-harm and sports injuries.
Dietary profile and phenolics consumption in university students from the Ningxia Hui Autonomous Region of China
Authors: Gao Qinghan , Yuan Xiao , Yang Jianjun , Fu Xueyan 
Published: November 2020

Abstract
Background
Polyphenol intake assessment is a first step for evaluating relationships between polyphenols and health-related outcomes. Ningxia Hui Autonomous Region is one of the minority areas in China, which is primarily consists of arid, dry desert.

Objectives
This study was to make assessment about phenolics intake by university students from Ningxia of China.

Methods
This study employed data from a cross-sectional survey conducted from February to June 2018 in Ningxia Hui Autonomous Region of Northwest China. A total of 413 undergraduate students (143 boys, 270 girls), mean age 20.6 years, participated in the study. Food-frequency consumption and anthropometric measurements were included in the survey. According to phenol-explorer website, the amount of different classes of phenolic compounds were established. Statistics analyses were conducted with IBM SPSS 20.0.

Results
Profile of the student subjects showed low weight (19.1%), overweight (6.8%) and obesity (0.5%). The mean value about phenolics intake was 1378 mg/day. The main polyphenols consumed were flavonoids (58.7% of total polyphenols), followed by phenolic acids (38.1%). Vegetables, fruits and cereals products were the most consumed foods, while infusions and sugar products were lower. Fruit was the main food sources of total polyphenols, especially apple (22.95%), orange juice (19.03%) and apple juice (3.93%).

Conclusions
This is the first study on the polyphenol intake of university students in Ningxia of China. The present results will be benefit for further investigation on the role of polyphenol intake against disease occurrence for this adults group.
The Effects of Anticipation and Visual and Sensory Performance on Concussion Risk in Sport: A Review
Authors: Kung Stacey M. , Suksreephaisan Titus K. , Perry Blake G. , Palmer Barry R. , Page Rachel A. 
Published: November 2020

AbstractSports-related concussions pose a significant public health concern, and preventative measures are needed to help reduce risk in sport. Vision training could be a suitable prevention strategy for sports-related concussion to help improve athletes’ abilities to scan the visual field for oncoming objects or opponents and thus anticipate head impacts. By accurately anticipating impacts, athletes can prepare for impact or attempt to avoid the collision altogether. The purpose of this review is to explore the relationships between anticipation, visual and sensorimotor performance and head accelerations, as well as to examine the efficacy of vision training programmes in reducing concussion risk in sport. Anticipation of head impacts has been shown to help reduce linear and rotational head accelerations, particularly for mild-to-moderate severity head impacts, but less so for severe head impacts. There is conflicting evidence regarding the influences visual and sensorimotor performance and oculomotor behaviour have on concussion risk. However, preliminary research indicates vision training may help reduce concussion rates in collegiate American Football players. Therefore, this promising area of research warrants further investigation, particularly the role of anticipation and visual and sensory performance on reducing concussion risk in non-helmeted contact sports.
GitLab: work where you want, when you want
Authors: Choudhury Prithwiraj , Crowston Kevin , Dahlander Linus , Minervini Marco S. , Raghuram Sumita 
Published: November 2020

AbstractGitLab is a software company that works “all remote” at the scale of more than 1000 employees located in more than 60 countries. GitLab has no physical office and its employees can work from anywhere they choose. Any step of the organizational life of a GitLab employee (e.g., hiring, onboarding and firing) is performed remotely, except for a yearly companywide gathering. GitLab strongly relies on asynchronous coordination, allowing employees to work anytime they want. After highlighting some of the main practices implemented by GitLab to effectively work all remotely and asynchronously, I asked renowned organizational scientists their thoughts on this interesting case and to question the generalizability of the all remote asynchronous model. Understanding whether and under what conditions this model can succeed can be of guidance for organizational designers that are now considering different remote models in response of the COVID-19 shock and its aftermath.
Application of Artificial Intelligence Methods to Pharmacy Data for Cancer Surveillance and Epidemiology Research: A Systematic Review
Authors: Grothen Andrew E. , Tennant Bethany , Wang Catherine , Torres Andrea , Bloodgood Sheppard Bonny , Abastillas Glenn , Matatova Marina , Warner Jeremy L. , Rivera Donna R. 
Published: November 2020

PURPOSE The implementation and utilization of electronic health records is generating a large volume and variety of data, which are difficult to process using traditional techniques. However, these data could help answer important questions in cancer surveillance and epidemiology research. Artificial intelligence (AI) data processing methods are capable of evaluating large volumes of data, yet current literature on their use in this context of pharmacy informatics is not well characterized. METHODS A systematic literature review was conducted to evaluate relevant publications within four domains (cancer, pharmacy, AI methods, population science) across PubMed, EMBASE, Scopus, and the Cochrane Library and included all publications indexed between July 17, 2008, and December 31, 2018. The search returned 3,271 publications, which were evaluated for inclusion. RESULTS There were 36 studies that met criteria for full-text abstraction. Of those, only 45% specifically identified the pharmacy data source, and 55% specified drug agents or drug classes. Multiple AI methods were used; 25% used machine learning (ML), 67% used natural language processing (NLP), and 8% combined ML and NLP. CONCLUSION This review demonstrates that the application of AI data methods for pharmacy informatics and cancer epidemiology research is expanding. However, the data sources and representations are often missing, challenging study replicability. In addition, there is no consistent format for reporting results, and one of the preferred metrics, F-score, is often missing. There is a resultant need for greater transparency of original data sources and performance of AI methods with pharmacy data to improve the translation of these results into meaningful outcomes.
Hyperpolarized mitochondria accumulate in Drosophila Hipk-overexpressing cells to drive tumor-like growth
Authors: Wong Kenneth Kin Lam , Liao Jenny Zhe , Shih Claire R. Y. , Harden Nicholas , Verheyen Esther M. 
Published: November 2020

ABSTRACT
Both functional and dysfunctional mitochondria are known to underlie tumor progression. Here, we establish use of the proto-oncogene Drosophila Homeodomain-interacting protein kinase (Hipk) as a new tool to address this paradox. We find that, in Hipk-overexpressing tumor-like cells, mitochondria accumulate and switch from fragmented to highly fused interconnected morphologies. Moreover, elevated Hipk promotes mitochondrial membrane hyperpolarization. These mitochondrial changes are at least in part driven by the upregulation of Myc. Furthermore, we show that the altered mitochondrial energetics, but not morphology, is required for Hipk-induced tumor-like growth, because knockdown of pdsw (also known as nd-pdsw; NDUFB10 in mammals; a Complex I subunit) abrogates the growth. Knockdown of ATPsynβ (a Complex V subunit), which produces higher levels of reactive oxygen species (ROS) than pdsw knockdown, instead synergizes with Hipk to potentiate JNK activation and the downstream induction of matrix metalloproteinases. Accordingly, ATPsynβ knockdown suppresses Hipk-induced tumor-like growth only when ROS scavengers are co-expressed. Together, our work presents an in vivo tumor model featuring the accumulation of hyperfused and hyperpolarized mitochondria, and reveals respiratory complex subunit-dependent opposing effects on tumorigenic outcomes.
This article has an associated First Person interview with the first author of the paper.
A systematic performance evaluation of clustering methods for single-cell RNA-seq data
Authors: Duò Angelo , Robinson Mark D. , Soneson Charlotte 
Published: November 2020

Subpopulation identification, usually via some form of unsupervised clustering, is a fundamental step in the analysis of many single-cell RNA-seq data sets. This has motivated the development and application of a broad range of clustering methods, based on various underlying algorithms. Here, we provide a systematic and extensible performance evaluation of 14 clustering algorithms implemented in R, including both methods developed explicitly for scRNA-seq data and more general-purpose methods. The methods were evaluated using nine publicly available scRNA-seq data sets as well as three simulations with varying degree of cluster separability. The same feature selection approaches were used for all methods, allowing us to focus on the investigation of the performance of the clustering algorithms themselves. We evaluated the ability of recovering known subpopulations, the stability and the run time and scalability of the methods. Additionally, we investigated whether the performance could be improved by generating consensus partitions from multiple individual clustering methods. We found substantial differences in the performance, run time and stability between the methods, with SC3 and Seurat showing the most favorable results. Additionally, we found that consensus clustering typically did not improve the performance compared to the best of the combined methods, but that several of the top-performing methods already perform some type of consensus clustering. All the code used for the evaluation is available on GitHub (https://github.com/markrobinsonuzh/scRNAseq_clustering_comparison). In addition, an R package providing access to data and clustering results, thereby facilitating inclusion of new methods and data sets, is available from Bioconductor (https://bioconductor.org/packages/DuoClustering2018).
Assessment of risk perception and risk communication regarding COVID-19 among healthcare providers: An explanatory sequential mixed-method study in Bangladesh
Authors: Salwa Marium , Atiqul Haque M , Ibrahim Ibne Towhid Muhmammad , Sultana Sarmin , Tanvir Islam Mohammad , Maruf Haque Khan Md , Miah Md Titu , Islam Syed Shariful , Moniruzzaman Syed 
Published: November 2020

Background: Any public health emergency demands adequate risk communication with the vulnerable population along with their optimized perception about the impending risk to ensure proper risk management and crisis control. Hence, this study will be conducted to explore healthcare providers’ perceptions regarding risks of coronavirus disease 2019 (COVID-19), as well as how they are being communicated to about the risk, and how they practice risk reduction measures. Methods: A two-phased explanatory sequential mixed-method study will be conducted among physicians and nurses from randomly selected tertiary healthcare facilities in Dhaka, the capital of Bangladesh. In the first phase, the general pattern and quantifiable measures of risk perception, risk communication, and infection prevention practices will be assessed quantitatively. Multiple linear regression analyses will be performed to explore how much variability of risk perception is predicted by risk communication methods and contents. In the second phase, qualitative data will be collected for in-depth understanding and exploration of participants’ experiences and insights regarding COVID-19 risk through interviews and document reviews. Thematic content analysis of the qualitative data will be done manually. Findings from both quantitative and qualitative phases will then be triangulated to illustrate the research objectives. Discussion: Based on the psychometric dimensions of risk perception and psycho-social theory of the health belief model, perception of COVID-19 risk among healthcare providers will be evaluated in this study. The relationship between risk perception and infection prevention and control practices among healthcare providers will also be investigated. The explanatory sequential design of this study is expected to generate hypotheses on how risk perception is being shaped in a time of uncertainty and thus, will help to build a proper risk communication strategy to minimize risk perception among healthcare providers.
Work-life balance for transnational skilled workers in Sweden
Authors: Ivana Greti-Iulia 
Published: November 2020

In the context of globalisation, increased mobility and transnational travelling, long-distance friendships, romantic partnerships and family ties are becoming more and more common.
Against this backdrop, this article focuses on highly skilled employees coming from Romania to Sweden and how they construct their work-life balance there. It analyses the work-life systems of highly skilled migrants in relation both to their co-present and long-distance bonds and overreliance on work networks of contacts, as well as investigating the relation between a particular work-life balance and highly skilled transnational workers' adoption of serial or circular migration. In doing so, this research asks how the work-life balance of highly skilled migrants can be understood from a life-course standpoint. The originality of this article comes from the interest in the work-life of transnational workers of both genders and of different family configurations, when most research on the topic of work-life balance still focuses almost exclusively on women and tensions between professional demands and traditional family lives.
Surface tension and viscosity measurement of oscillating droplet using rainbow refractometry
Authors: Lv Qimeng , Wu Yingchun , Li Can , Wu Xuecheng , Chen Linghong , Cen Kefa 
Published: November 2020

We extend rainbow refractometry to quantify the oscillations of a droplet in its fundamental mode. The oscillation parameters (frequency and amplitude damping), extracted using the time-resolved rainbow angular shift, are utilized to measure surface tension and viscosity of the liquid. Proof-of-concept experiments on an oscillating droplet stream produced by a monodisperse droplet generator are conducted. Results show that the relative measurement errors of surface tension and viscosity are 1.5% and 8.4% for water and 5.3% and 2.5% for ethanol. This approach provides an alternative mean for characterizing liquid surface properties, e.g., dynamic surface tension and viscosity, especially for liquids with a low Ohnesorge number.
Divergent organ-specific isogenic metastatic cell lines identified using multi-omics exhibit differential drug sensitivity
Authors: Winnard Paul T. , Vesuna Farhad , Muthukumar Sankar , Raman Venu 
Published: November 2020

Background
Monitoring and treating metastatic progression remains a formidable task due, in part, to an inability to monitor specific differential molecular adaptations that allow the cancer to thrive within different tissue types. Hence, to develop optimal treatment strategies for metastatic disease, an important consideration is the divergence of the metastatic cancer growing in visceral organs from the primary tumor. We had previously reported the establishment of isogenic human metastatic breast cancer cell lines that are representative of the common metastatic sites observed in breast cancer patients.

Methods
Here we have used proteomic, RNAseq, and metabolomic analyses of these isogenic cell lines to systematically identify differences and commonalities in pathway networks and examine the effect on the sensitivity to breast cancer therapeutic agents.

Results
Proteomic analyses indicated that dissemination of cells from the primary tumor sites to visceral organs resulted in cell lines that adapted to growth at each new site by, in part, acquiring protein pathways characteristic of the organ of growth. RNAseq and metabolomics analyses further confirmed the divergences, which resulted in differential efficacies to commonly used FDA approved chemotherapeutic drugs. This model system has provided data that indicates that organ-specific growth of malignant lesions is a selective adaptation and growth process.

Conclusions
The insights provided by these analyses indicate that the rationale of targeted treatment of metastatic disease may benefit from a consideration that the biology of metastases has diverged from the primary tumor biology and using primary tumor traits as the basis for treatment may not be ideal to design treatment strategies.
Regulatory Elements Inserted into AAVs Confer Preferential Activity in Cortical Interneurons
Authors: Rubin Anna N. , Malik Ruchi , Cho Kathleen K. A. , Lim Kenneth J. , Lindtner Susan , Robinson Schwartz Sarah E. , Vogt Daniel , Sohal Vikaas S. , Rubenstein John L. R. 
Published: November 2020

AbstractCortical interneuron (CIN) dysfunction is thought to play a major role in neuropsychiatric conditions like epilepsy, schizophrenia and autism. It is therefore essential to understand how the development, physiology, and functions of CINs influence cortical circuit activity and behavior in model organisms such as mice and primates. While transgenic driver lines are powerful tools for studying CINs in mice, this technology is limited in other species. An alternative approach is to use viral vectors such as AAV, which can be used in multiple species including primates and also have potential for therapeutic use in humans. Thus, we sought to discover gene regulatory enhancer elements (REs) that can be used in viral vectors to drive expression in specific cell types. The present study describes the systematic genome-wide identification of putative REs (pREs) that are preferentially active in immature CINs by histone modification chromatin immunoprecipitation and sequencing (ChIP-seq). We evaluated two novel pREs in AAV vectors, alongside the well-establishedDlx I12benhancer, and found that they drove CIN-specific reporter expression in adult mice. We also showed that the identifiedArl4dpRE could drive sufficient expression of channelrhodopsin for optogenetic rescue of behavioral deficits in theDlx5/6+/−mouse model of fast-spiking CIN dysfunction.