bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Financial Sector Development on Economic Growth of Selected Sub-Saharan African Countries
Authors: Bekele Dagim Tadesse , Degu Adisu Abebaw 
Published: November 2020

Finance-growth nexus is among the main debatable issue in economics and policymaking. So, this research tried to look at the effect of financial sector development on the economic growth of 25 sub-Saharan Africa countries by using panel data for time 2010-2017. Precisely, three dynamic panel data models which look the effect of financial sector depth, access and efficiency on economic growth were estimated by two-step system GMM estimation. In this research, credit extended to the private sector per GDP, commercial bank branch per 100,000 adult population, and Return to assets were used as a proxy for financial sector depth, access, and efficiency, respectively. Accordingly, the results revealed financial sector depth, access, and efficiency have a positive and statistically significant effect on the economic growth of these countries. It is therefore recommended for the concerned bodies that broadening the depth of financial institutions by giving more credit for the private sector is essential. Besides, the financial institutions will have to be expanded to increase their accessibility to the mass and have to take some measures which promote their efficiency.
Cell Type-Specific Oxidative Stress Genomic Signatures in the Globus Pallidus of Dopamine-Depleted Mice
Authors: Lawler Alyssa J. , Brown Ashley R. , Bouchard Rachel S. , Toong Noelle , Kim Yeonju , Velraj Nitinram , Fox Grant , Kleyman Michael , Kang Byungsoo , Gittis Aryn H. , Pfenning Andreas R. 
Published: November 2020

Neuron subtype dysfunction is a key contributor to neurologic disease circuits, but identifying associated gene regulatory pathways is complicated by the molecular complexity of the brain. For example, parvalbumin-expressing (PV+) neurons in the external globus pallidus (GPe) are critically involved in the motor deficits of dopamine-depleted mouse models of Parkinson's disease, where cell type-specific optogenetic stimulation of PV+neurons over other neuron populations rescues locomotion. Despite the distinct roles these cell types play in the neural circuit, the molecular correlates remain unknown because of the difficulty of isolating rare neuron subtypes. To address this issue, we developed a new viral affinity purification strategy, Cre-Specific Nuclear Anchored Independent Labeling, to isolate Cre recombinase-expressing (Cre+) nuclei from the adult mouse brain. Applying this technology, we performed targeted assessments of the cell type-specific transcriptomic and epigenetic effects of dopamine depletion on PV+and PV–cells within three brain regions of male and female mice: GPe, striatum, and cortex. We found GPe PV+neuron-specific gene expression changes that suggested increased hypoxia-inducible factor 2α signaling. Consistent with transcriptomic data, regions of open chromatin affected by dopamine depletion within GPe PV+neurons were enriched for hypoxia-inducible factor family binding motifs. The gene expression and epigenomic experiments performed on PV+neurons isolated by Cre-Specific Nuclear Anchored Independent Labeling identified a transcriptional regulatory network mediated by the neuroprotective factor Hif2a as underlying neural circuit differences in response to dopamine depletion.SIGNIFICANCE STATEMENTCre-Specific Nuclear Anchored Independent Labeling is an enhanced, virus-based approach to isolate nuclei of a specific cell type for transcriptome and epigenome interrogation that decreases dependency on transgenic animals. Applying this technology to GPe parvalbumin-expressing neurons in a mouse model of Parkinson's disease, we discovered evidence for an upregulation of the oxygen homeostasis maintaining pathway involving Hypoxia-inducible factor 2α. These results provide new insight into how neuron subtypes outside the substantia nigra pars compacta may be compensating at a molecular level for differences in the motor production neural circuit during the progression of Parkinson's disease. Furthermore, they emphasize the utility of cell type-specific technologies, such as Cre-Specific Nuclear Anchored Independent Labeling, for isolated assessment of specific neuron subtypes in complex systems.
Mapping the Dynamic Recruitment of Spinal Neurons during Fictive Locomotion
Authors: Rancic Vladimir , Ballanyi Klaus , Gosgnach Simon 
Published: November 2020

The basic rhythmic activity that underlies stepping is generated by a neural network, situated in the spinal cord, known as the locomotor central pattern generator (CPG). While a series of lesion experiments have demonstrated that the mammalian locomotor CPG is distributed throughout the ventral portion of the caudal spinal cord, the specific transverse distribution of this neural network is unclear. Here we evoke fictive locomotor activity of various frequencies in upright spinal cords prepared from male and female neonatal mice. This preparation enables us to use an imaging approach to identify locomotor-related cells across the transverse plane of the spinal cord. Results indicate that there is a clear shift in the recruitment of cells toward the ventromedial, and away from the ventrolateral, spinal cord as the frequency of fictive locomotion increases. Surprisingly, the analysis of multiple frequencies of fictive locomotion in the same spinal cord indicates that few neurons are involved in locomotor outputs across multiple speeds. Collectively, these experiments allow us to map the transverse distribution of the locomotor CPG and highlight the pattern of dynamic recruitment that occurs within this neural circuit as the frequency is altered. Our findings are consistent with data indicating that there is a speed-dependent recruitment of interneuronal populations during locomotion and suggest that the locomotor CPG is not a static network, but rather the specific cells recruited vary extensively based on demand.SIGNIFICANCE STATEMENTIn this article, we use an imaging approach to identify all those cells that are rhythmically active at the same frequency as fictive locomotion recorded from the ventral roots of the isolated spinal cord. These experiments allow us to map the distribution of locomotor-related cells across the transverse plane of the spinal cord and identify the recruitment pattern of these cells as the frequency of locomotor outputs is altered. Our results indicate that there are drastic changes in the specific neurons activated at different frequencies and provide support for the concept that the locomotor central pattern generator is a modular network with speed-dependent recruitment of interneuronal components.
Resiliência como fator de proteção aos transtornos mentais menores na equipe de enfermagem
Authors: Santos Emerson Roberto dos , Bertolin Daniela Comelis , Pompeo Daniele Alcalá , Alves Isadora Gama , Roque Cleber José , Fucuta Patrícia da Silva , André Júlio César 
Published: November 2020

OBJETIVOS: Rastrear a presença de transtornos mentais menores, avaliar os níveis de resiliência em profissionais de enfermagem de serviços de emergência e unidades de internação e verificar possíveis associações entre essas variáveis e o perfil sociodemográfico e profissional.
MATERIAL E MÉTODO: Estudo descritivo, correlacional e transversal. Participaram 203 profissionais de enfermagem (enfermeiros, técnicos e auxiliares de enfermagem), do interior do estado de São Paulo. A coleta dos dados foi realizada por meio de instrumento de caracterização sociodemográfica e profissional, o Self-Report Questionnaire (SRQ-20), e da escala de resiliência.
RESULTADOS: Prevalência global dos transtornos mentais menores de 31%, menor em profissionais de maior idade e do sexo masculino. Resiliência elevada, com valores médios de 136,4 (±20,1) pontos. Maior idade e atuação em unidades de emergência obtiveram escores mais elevados de resiliência. Menores escores de resiliência estiveram associados a maior possibilidade de transtornos mentais menores neste estudo.
CONCLUSÕES: Resiliência pode ser considerada fator de proteção contra os transtornos mentais menores em profissionais de enfermagem. Estratégias efetivas devem ser levadas em conta para mudar esse cenário de adoecimento de parte significativa da equipe de enfermagem.
Sharing research data to comply with a journal policy: Experience of a first-time depositor
Authors: Burke Marianne D 
Published: November 2020

Background Journals in health sciences increasingly require or recommend that authors deposit the data from their research in open repositories. The rationale for publicly available data is well understood, but many researchers lack the time, knowledge, and skills to do it well, if at all. There are few descriptions of the pragmatic process a researcher author undertakes to complete the open data deposit in the literature.
When my manuscript for a mixed methods study was accepted by a journal that required shared data as condition of publication, I proceeded to comply despite uncertainty with the process.
Purpose The purpose of this work is to describe the experience of an information science researcher and first-time data depositor to complete an open data deposit. The narrative illustrates the questions encountered and choices made in the process.
Process Methods To begin the data deposit process, I found guidance from the accepting journal’s policy and rationale for its shared data requirement. A checklist of pragmatic steps from an open repository provided a framework used to outline and organize the process. Process steps included organizing data files, preparing documentation, determining rights and licensing, and determining sharing and permissions. Choices and decisions included which data versions to share, how much data to share, repository choice, and file naming. Processes and decisions varied between the quantitative and qualitative data prepared.

Results Two datasets and documentation for each were deposited in the Figshare open repository, thus meeting the journal policy requirements to deposit sufficient data and documentation to replicate the results reported in the journal article, and also meeting the deadline to include a Data Availability Statement with the published article.
Conclusion This experience illustrated some practical data sharing issues faced by a librarian author seeking to comply with a journal data sharing policy requirement for publication of an accepted manuscript. Both novice data depositors and data librarians may find this individual experience useful for their own work and the advice they give to others.
Risk based Intervention Capabilities of Health challenges in Kenya a Case of Chikungunya and Dengu fever
Authors: Shileche Emma Anyika 
Published: November 2020

The Basic definition of risk is that it is a measure or a postulation of how variables deviate from the normal. Several phenomenon experience risks but many of them do not have a great effect on the human life. Health risks are those that would affect the health of human life directly and in particular they are hazardous since a lot of them tend to spread through large populations within a short period of time and are costly to eliminate thus the need to determine them early and mitigate them before they occur and have both a negative social and economic impact on the society
The development of a country is hinged on its human resource. A healthy and vibrant human population will favor high productivity and efficient service provision since they perform their duties and responsibility at full capacity. Indeed a region ravaged by disease has its populous fatigued by diseases or taking care of the infected. The World Health Organization (WHO) in its report of March 2016 estimated that 12.6 million people died in 2012 as a result of living or working near unhealthy places nearly 1 in 4 of total global deaths, according to new estimates from W.H.O. Environmental risk factors, such as air, water and soil pollution, chemical exposures, climate change, and ultraviolet radiation, contribute to more than 100 diseases and injuries. Health risk assessment (HRA) usually includes checking blood sugar, cholesterol and blood pressure as well as weight status and waist circumference to help individuals to understand their risk for Cardio vascular Diseases (CVD). It is extremely important to know these crucial numbers because some of them are considered “silent killers” such as high blood pressure and cholesterol, where there are rarely any symptoms to warn you that it is high. All adults should therefore have this health check done once a year or more often if recommended by a doctor.
IMPLEMENTAÇÃO DA POLÍTICA DO AMBIENTE EM CABO VERDE: O CASO DO PARQUE NATURAL DE SERRA DA MALAGUETA
Authors: Carvalho Manuel Leão 
Published: November 2020

Com o presente artigo procura-se demonstrar como é que a aplicação da política do ambiente à gestão de áreas protegidas pode aumentar a sua eficácia de gestão. A metodologia utilizada foi a revisão da literatura, consulta ao plano de gestão do Parque Natural de Serra da Malagueta, aos relatórios das atividades realizadas nessa área protegida, bem como à legislação nacional aplicável. A direção e a equipa técnica do Parque e as comunidades locais foram igualmente consultadas, tendo em vista a avaliação da perceção que têm sobre a eficácia de gestão dessa importante área protegida. Em termos de resultados alcançados, constata-se que a eficácia de gestão em 2007 foi Pouco Satisfatória, enquanto a avaliação de 2016 foi Medianamente Satisfatória. Esta diferença justifica-se, pois: (i) em 2007, embora tivesse havido alguma atividade de gestão, o Parque encontrava-se em processo de elaboração do plano de gestão, processo esse que culminou com a aprovação do plano em 2008 e o início da sua implementação no mesmo ano; (ii) a política de gestão proativa que o Parque conheceu com a implementação do plano de gestão a partir de 2008, facilitada pela co-governança, de natureza colaborativa, adotada. Este trabalho permitiu perceber como é que o processo participativo utilizado na territorialização de políticas públicas de gestão ambiental pode contribuir para a sustentabilidade de espaços naturais protegidos. Palavras-chave: Recursos naturais, política ambiental, ambiente, gestão ambiental, gestão de áreas protegidas
Análise econômica da produção de Pitaya na agricultura familiar do sul de Santa Catarina
Authors: Pires Eliton , Krauze Carlos 
Published: November 2020

Conhecer o custo de produção é uma das ferramentas mais importantes para subsidiar o planejamento e a tomada de decisão na agricultura. A pitaya é uma fruta exótica que tem despertado o interesse de produtores e consumidores no Brasil. Neste trabalho foram analisados os dados econômicos de pomares de pitaya de quatro propriedades com características de agricultura familiar na região do extremo sul do estado de Santa Catarina, seguindo a metodologia da Conab. O custo médio de produção ficou em R$ 1,53/kg e o preço de venda foi superior a R$ 4,00/kg. As propriedades analisadas se mostraram eficientes, com lucratividade acima de 60%. Porém, foram identificados espaços para cortes de custos, como a introdução de novas cultivares e a utilização de produtos fitossanitários, máquinas e implementos adequados tecnologicamente à cultura da pitaya.
A Novel Workflow of Greenhouse Gas Capture and Utilization in Well Health Issue
Authors: Haq Bashirul , Hossain M. Mozahar 
Published: November 2020

Abstract
Liquid load issue is commonly found in the gas condensate reservoir. In this regard we consider a novel workflow consisting: (i) CO2 capture from fossil fueled power plants, (ii) inject the captured CO2 into the well and (iii) investigate the effects of CO2 injection in well health. This communication reports, the issue identification and verification, as well as the effects of high purity CO2 on surface tension, minimum miscible pressure (MMP) and well productivity.
ScCO2 will be obtained from a chemical-looping combustion (CLC) integrated power plant. The novel CLC method includes the application of a solid oxygen (O2) carrier to supply O2, instead of air, to carry out the fuel combustion, thereby almost pure CO2 can be delivered without any energy penalty for separation. The captured CO2 needs to be brought in ScCO2 condition before injection. A mathematical workflow model was developed to identify and verify liquid loading issue. In addition, surface tension, and density were measured at high pressure and temperature to analyse the influence of supercritical CO2 in recovery and liquid loading.
As indicated above, this study comprises with three major aspects (i) captured/compressed of CO2 from a power plant and (ii) use of ScCO2 in gas condensate reservoirs and (iii) impact of pure CO2 in the well health. In CO2 capture, a thermodynamic parametric models analysis has been conducted using natural gas as fuel, and nickel oxide as a solid oxygen carrier.
The influence of temperature in fuel and O2 ratios are examined by the Gibbs free energy method to determine the combustion product composition. It reveals that CO2 is purified up to 99.5% in the fuel combustion cycle which is nickel (Ni) based O2 carrier. The result is agreed with the experimental studies.
The workflow model identified and varied liquid loading in an active well. Surface tension (ST) between Arabian condensate and ScCO2 was measured and found that ST continued to decrease with increasing pressure. Dynamic miscibility value was determined at high pressure and temperature.
A Bonded 3D LBM-DEM Approach for Sand Production Process
Authors: Xia Tian , Feng Qihong , Wang Sen , Zhao Yunchang , Xing Xiangdong 
Published: November 2020

Abstract
Due to the long-term fluid-solid interaction in waterflooding, some sand particles forming the reservoir formation detach from the rock and migrate with fluid in the reservoir, which will cause many problems such as borehole instability and casing collapse. However, the mechanism for sand production process is not clear. Therefore, it is very urgent to find out the mechanism for this process. This paper presents a coupled lattice Boltzmann method and discrete element method (LBM-DEM) to study the sand production process of the formation. The method has been validated by simulating the sedimentation of single particle. Simulation of sand production process is conducted and the effect of cementation type, cementation strength and injection rate are investigated. During the simulation, sand particles will detach from the reservoir and the formation will reach a steady state after a period of time. Strong force chain rupture can be recognized, which is the main reason for sand detachment. Besides, force chain reorganization can be identified. The total number of produced sand first increases and remain constant after the force chain reorganization. Reservoir with clay cement produces more sand than that with carbonate cement. For the same cementation type, reservoir with lower cementation strength produces more sand than the higher one. Moreover, higher injection rate leads to more sand production than the lower injection rate. The proposed method presents simulations of sand production process at a pore-scale level which is the best scale level to describe the phenomena. Compared with experimental method, it doesn't need too much labor and can reveal the mechanism of this process. This method not only can be widely used in the study of sand production process but also can deal with other problems such as proppant migration in fracturing and gel particles migration in profile control, which is very important to the oil field development.
Estimating Coal Permeability Using Machine Learning Methods
Authors: Salehi Cyrus , Zhong Ruizhi , Ganpule Sameer , Dewar Steven , Johnson Raymond , Chen Zhongwei 
Published: November 2020

Abstract
Bulk permeability of coal is a critical parameter in coalbed methane (CBM) or coal seam gas (CSG) well completion designs and field development planning. The estimation of permeability can be made by well testing either during drilling or production; however, well tests are costly, time sensitive and resource-intensive. Therefore, field-wide estimates are often dependent on production data history-matching, which has a high degree of uncertainty.
In this paper, we present a new attempt to apply machine learning approach to estimate coal permeability using drilling data. We first extract important parameters from well test analyses, which are obtained using a packer element testing (PET) tool from four wells in the Surat Basin, Australia. Then drilling data from the wells are processed and fed into different artificial neural networks (ANNs), which include multi-layer perceptrons (MLP), convolutional neural network (CNN), and recurrent neural network (RNN). Two types of models are constructed: regression model with permeability values, and classification model with permeability class intervals (i.e., low, medium, and high permeability values). The evaluation metrics include R2 for regression models and confusion matrix for classification models.
Results show that the drilling mud losses are generally higher in coal layers and lower in interburden formations. The predicted medium and high coal permeabilities from MLP and CNN are in good agreement with measured permeability values from PET data. For the classification task, the CNN achieved an overall accuracy of 99%. Thus, an improved coal permeability map with a higher resolution and less calibration against PET data can be developed quickly to aid production data history matching. The developed machine learning model demonstrated a potential to be applied to new wells to predict the coal permeability for the Surat Basin as well as other CSG appraisal projects. This model can allow more rapid optimisation of well spacing, improved downhole pump design, more targeted well stimulation, and overall project economics.