bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fast and Accurate Core Analysis by the Full-Immersion Pressure-Pulse Decay: Part 1—Theory
Authors: Hannon Michael J. 
Published: September 2020

Summary
Core-scale measurements are considered the ground truth that oil and gas or electric utility companies use to predict the migration of fluids such as oil, natural gas, carbon dioxide, or brine deep underground during their extraction or injection operations. To provide a greater understanding of petrophysical properties of low-permeability geologic formations such as shales and tight gas sandstones, this study introduces a novel core-analysis procedure. The technique follows conventional pressure-pulse-decay permeametry, where the pressure in an inlet chamber adjacent to a cylindrical core plug undergoes a rapid pressurization, the system is shut in, and the pressure reaches a new equilibrium. However, unlike a standard unidirectional pressure-pulse decay, the full-immersion pressure-pulse decay (Hannon 2019) applies a pressure disturbance to the entire outer surface area of the sample. This article covers the numerical simulator designed to model flow through an anisotropic porous sample in this scenario. The model assumes distinct but uniform permeabilities along the radial and axial directions of the cylindrical plug sample. When extracting a plug vertically (or perpendicular to bedding), the permeability along the radial direction associates with the horizontal permeability (i.e., parallel to bedding), whereas in the axial direction, flow occurs perpendicular to bedding (a vertical permeability). Investigations of these model outputs demonstrate an approximately 20-fold decrease in time to complete a full-immersion experiment compared with conventional pressure-pulse decay. Furthermore, the pressure-decay curves resulting from the full-immersion method have slightly different shapes than those resulting from other unidimensional transient methods. These differences begin to demonstrate that, under achievable experimental conditions, the analysis of pressure data from one full-immersion test could enable the simultaneous estimation of the apparent permeabilities parallel and perpendicular to bedding of a cylindrical sample in addition to its porosity. A follow-up article finalizes the proof of this capability with a parameter-estimation procedure and presents experimental verification through a proof-of-concept study. Described in greater detail in that article, the parameter estimator requires multiple forward simulations to analyze the data, which behooves minimizing the compute time for each simulation. By using an alternating direction implicit time-marching scheme and a structured but variably spaced grid, the numerical simulator built for this purpose provides a forward model output with suitable accuracy in approximately 0.5 seconds.
Identification of bipolar disorder using a combination of multimodality magnetic resonance imaging and machine learning techniques
Authors: Li Hao , Cui Liqian , Cao Liping , Zhang Yizhi , Liu Yueheng , Deng Wenhao , Zhou Wenjin 
Published: September 2020

Abstract
Background: Bipolar disorder (BPD) is a common mood disorder that is often goes misdiagnosed or undiagnosed. Recently, machine learning techniques have been combined with neuroimaging methods to aid in the diagnosis of BPD. However, most studies have focused on the construction of classifiers based on single-modality MRI. Hence, in this study, we aimed to construct a support vector machine (SVM) model using a combination of structural and functional MRI, which could be used to accurately identify patients with BPD.Methods: In total, 44 patients with BPD and 36 healthy controls were enrolled in the study. Clinical evaluation and MRI scans were performed for each subject. Next, image pre-processing, VBM and ReHo analyses were performed. The ReHo values of each subject in the clusters showing significant differences were extracted. Further, LASSO approach was recruited to screen features. Based on selected features, the SVM model was established, and discriminant analysis was performed.Results: After using the two-sample t-test with multiple comparisons, a total of 8 clusters were extracted from the data (VBM = 6; ReHo = 2). Next, we used both VBM and ReHo data to construct the new SVM classifier, which could effectively identify patients with BPD at an accuracy of 87.5% (95%CI: 72.5-95.3%), sensitivity of 86.4% (95%CI: 64.0-96.4%), and specificity of 88.9% (95%CI: 63.9-98.0%) in the test data (p=0.0022). Limitations: The sample size was small, and we were unable to eliminate the potential effects of medications. Conclusions: A combination of structural and functional MRI can be of added value in the construction of SVM classifiers to aid in the accurate identification of BPD in the clinic.
A Survey on Data Analysis on Large-Scale Wireless Networks: Online Stream Processing, Trends, and Challenges
Authors: de Medeiros Dianne Scherly Varela , Neto Helio do Nascimento Cunha , Lopez Martin Andreoni , Magalhães Luiz Claudio Schara , Fernandes Natalia Castro , Vieira Alex Borges , Silva Edelberto Franco , Mattos Diogo Menezes Ferrazani 
Published: September 2020

Abstract
In this paper we focus on knowledge extraction from large-scale wireless networks through stream processing. We present the primary methods for sampling, data collection, and monitoring of wireless networks and we characterize knowledge extraction as a machine learning problem on big data stream processing. We show the main trends in big data stream processing frameworks. Additionally, we explore the data preprocessing, feature engineering, and the machine learning algorithms applied to the scenario of wireless network analytics. We address challenges and present research projects in wireless network monitoring and stream processing. Finally, future perspectives, such as deep learning and reinforcement learning in stream processing, are anticipated.
Identification of ALDH3A2 as a novel prognostic biomarker in gastric adenocarcinoma using integrated bioinformatics analysis
Authors: Yin Zhenhua , Wu Dejun , Shi Jianping , Wei Xiyi , Jin Nuyun , Lu Xiaolan , Ren Xiaohan 
Published: September 2020

Abstract
Background: Extensive research has revealed that genes play a pivotal role in tumor development and growth. However, the underlying involvement of gene expression in gastric carcinoma (GC) remains to be investigated further.Methods: In this study, we identified overlapping differentially expressed genes (DEGs) by comparing tumor tissue with adjacent normal tissue using the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) database.Results: Our analysis identified 79 up-regulated and ten down-regulated genes. Functional enrichment analysis and prognosis analysis were conducted on the identified genes, and the fatty aldehyde dehydrogenase (FALDH) gene, ALDH3A2, was chosen for more detailed analysis. We performed Gene Set Enrichment Analysis (GSEA) and immunocorrelation analysis (infiltration, copy number alterations, and checkpoints) to elucidate the mechanisms of action of ALDH3A2 in depth. The immunohistochemical (IHC) result based on 140 paraffin-embedded human GC samples indicated that ALDH3A2 was over-expressed in low-grade GC cases and the OS of patients with low expression of ALDH3A2 was significantly shorter than those with high ALDH3A2 expression. In vitro results indicated that the expression of ALDH3A2 was negatively correlated with PDCD1, PDCD1LG2, and CTLA-4.Conclusion: We conclude that ALDH3A2 might be useful as a potential reference value for the relief and immunotherapy of GC, and also as an independent predictive marker for the prognosis of GC.
Development of EST-SSR Markers and Association Mapping with Floral Traits in Syringa oblata
Authors: Yang Yunyao , He Ruiqing , Zheng Jian , Hu Zenghui , Wu Jing , Leng Pingsheng 
Published: September 2020

Abstract
Background: Lilac (Syringa oblata) is an important woody plant with high ornamental value. However, very limited genetic marker resources are currently available, and little is known about the genetic architecture of important ornamental traits for S. oblata, which is hindering its genetic studies. Therefore, it is of great significance to develop effective molecular markers and understand the genetic architecture of complex floral traits for the genetic research of S. oblata.Results: In this study, a total of 10,988 SSRs were obtained from 9,864 unigene sequences with an average of one SSR per 8.13 kb, of which di-nucleotide repeats were the dominant type (32.86%, 3,611). A set of 2,042 primer pairs were validated, out of which 932 (45.7%) exhibited successful amplifications, and 248 (12.1%) were polymorphic in eight S. oblata individuals. In addition, 30 polymorphic EST-SSR markers were further used to assess the genetic diversity and the population structure of 192 cultivated S. oblata individuals. 234 alleles were detected, and the PIC values ranged from 0.23 to 0.88 with an average of 0.51, indicating a high level of genetic diversity within this cultivated population. The analysis of population structure showed two major subgroups in the association population. Finally, 20 significant associations were identified involving 17 markers with nine floral traits using the mixed linear model. Moreover, marker SO104, SO695 and SO790 had significant relationship with more than one trait.Conclusion: The results showed newly developed markers were valuable resource and provided powerful tools for genetic breeding of lilac. Beyond that, our study could serve an efficient foundation for further facilitate genetic improvement of ﬂoral traits for lilac.
Clinical features of gingivostomatitis due to primary infection of Herpes simplex virus in children
Authors: Huang Chen-Wei , Hsieh Chi-Hsien , Lin Ming-Ru , Huang Yhu-Chering 
Published: September 2020

Abstract
Background: Primary herpetic gingivostomatitis (PHGS) in children, though usually self-limited, might mimic bacterial and enteroviral pharyngitis clinically. We conducted a study to define the clinical features of PHGS in children.Methods: Between January 2012 and December 2016, 282 inpatients aged less than 19 years with cell culture-confirmed herpes simplex virus (HSV) infection in a medical center were identified from the virologic laboratory logbook. Clinical data were retrospectively collected.Results: Among the 282 inpatients, 185 cases were considered as PHGS and were included for analysis. Fever was present in 99.5%. The mean duration of fever was 5.11 days (±2.24) with the longest being 17 days. Common oral manifestations included oral ulcers (84.3%), which equally resided in the anterior and posterior part of the oral cavity (65.4% vs. 63.2%), gum swelling and/or bleeding (67.6%), and exudate coated tonsils (16.8%). Leukocytosis (WBC count >15,000/uL3) was noted in 52 patients (28.1%) and a serum C-reactive protein level >40 mg/L in 55 patients (29.7%). 65 patients (35%) were diagnosed with PHGS on admission and were significantly more likely to have ulcers over the anterior oral cavity (76.1% vs. 26.7%) and gum swelling/bleeding (76.2% vs. 7.5%, p-value all <0.001) on admission and were significantly less likely to receive antibiotic treatment (16.9 vs. 36.7%, p-value < 0.01) than others. 46 patients (25%) undiagnosed as PHGS on discharge were significantly more likely to have exudate coated on the tonsils, to receive antibiotic treatment and significantly less likely to have gum swelling/bleeding and oral ulcers (all p-values < 0.01). Conclusions: Meticulously identifying specific oral manifestations of gum swelling/bleeding and ulcers over the anterior oral cavity in children can help making the diagnosis of PHGS earlier and subsequently reduce unnecessary prescription of antibiotics.
A health care record review of early mobility activities after fragility hip fracture: Utilizing the French systematic method to inform future interventions
Authors: Haslam-Larmer Lynn , Woo Kevin , Auais Mohammad , Donnelly Catherine , DePaul Vincent 
Published: September 2020

Abstract
BackgroundA fragility hip fracture is a serious injury in older adults. After experiencing a fracture, a large percentage of patients do not regain their pre-fracture level of mobility. There are several international guidelines recommending early mobility after surgery. We do not know the usage of these early mobility recommendations by health care providers within our institution. An evidence-to-practice gap occurs when there is a failure to implement best practices. Utilization of a systematic method allows for a strategic approach to assessment of an evidence-to-practice gap. There were two aims of this project; to describe early mobility activities undertaken on one post surgical unit and b) to identify if there is an evidence-to-practice gap.MethodsAt a large tertiary centre in Toronto, Ontario, medical records from one calendar year were abstracted for older adults (≥65 years of age) recovering from fragility hip fracture repair. Data regarding demographics, co-morbidities, surgery type, post-operative mobility activities, and any post-operative complications were collected. Primary outcomes were evidence of early mobility activities and a comparison to Health Quality Ontario recommendations for fragility hip fracture care.ResultsBetween 11% - 50% of patients are not participating in early mobility activities. By postoperative day five only two patients had walked over 50 metres. Those with low pre-fracture functional ability and a cognitive impairment consistently experienced lower rates of participation compared to patients with a high pre-fracture functional ability and no cognitive impairment. Chi-square tests and regression analysis did not reveal any significant associations with variables.ConclusionsThere is very limited participation in early mobility activities after surgery. The study was unable to identify any significant relationships between several variables that may impact participation. This chart review identified the processes that have been sustained and highlights potential areas for future interventions.
Physiological and molecular characterization of active fungi in pesticides contaminated soils for degradation of glyphosate
Authors: Njoku Kelechi L. , Eludini Peter O. , Adesuyi Adeola A. , Ude Emea O. , Oyelami Ayodeji O. 
Published: September 2020

Abstract
Understanding the physiological and molecular characteristics of naturally occurring fungi in glyphosate pesticide contaminated environment is crucial to managing its contamination. The study was aimed at isolating and characterizing soil fungi for their physiological roles towards glyphosate degradation. Pure cultures of fungi were isolated from soil contaminated with glyphosate at farms in Lagos, Nigeria. The cultures were grown on minimal salt agar media amended with glyphosate. The best isolates exhibiting good tolerance to the glyphosate were characterized using molecular techniques. The BLAST search indicated that the fungi belong to four Aspergillus species ( Aspergillus flavus strain JN-YG-3-5, Aspergillus niger strain APBSDSF96, Aspergillus fumigatus strain FJAT-31052 and Aspergillus flavus strain APBSWTPF130, Trichoderma gamsii and Penicillium simplicissimum . The biodegradation study of the glyphosate by the selected fungi species showed the presence of Aminomethylphosphonic Acid (AMPA) except for Aspergillus fumigatus strain FJAT-31052. Annotation analysis of the partial gene sequence shows that the strains possess protein coding gene clusters for glyphosate utilization and other physiological activities. The GhostKOALA output confirmed that CYP2W1 gene (Cytochrome P450, fungi type) was present in Aspergillus fumigatus strain FJAT-31052 which was absent in genome of other fungi. The physiological and molecular characteristics of Aspergillus fumigatus strain FJAT-31052 clearly show that this isolate is a useful organism for managing contamination by glyphosate pesticide.
The effect of the community midwifery model on maternal and newborn health service utilization and outcomes in Busia County of Kenya: A quasi-experimental study
Authors: Shikuku Duncan Ndombi , Tanui Geofrey , Wabomba Mercy , Wanjala Dennis , Friday Josephine , Peru Taphroze , Atamba Evelyne , Sisimwo Kenneth 
Published: September 2020

Abstract
Background: Poor women in hard-to-reach areas are least likely to receive healthcare and carry the burden of maternal and perinatal mortality from complications of childbirth. This study evaluated the effect of an enhanced community midwifery model on skilled attendance during pregnancy/childbirth as well as on maternal and perinatal outcomes against the backdrop of protracted healthcare workers' strikes in rural Kenya. Methods: The study used a quasi-experimental (one-group pretest-posttest) design. The study spanned three time periods (P), including December’2016-February’2017 when medical doctors were on strike (P1), March -May’2017 when no healthcare providers were on strike (P2), and June-October’2017 when nurses/midwives were on strike (P3), which was also the period when the project enhanced the capacity of community midwives (CMs) to provide services at the community level. Analysis entailed comparison of frequencies and means of maternal and newborn health service utilization data across the three time periods. Results: The monthly average number of clients obtaining services from CMs across the three time periods (P1-P2-P3) was as follows: first antenatal care (ANC) (1.8-2.3-9.9), fourth ANC (1.4-1.0-7.1), skilled birth (1.5-1.7-13.1) and the differences in means were statistically significant (p<0.05). Over the period, the monthly average number of clients obtaining services from health facilities was as follows: first ANC (55.7 -70.8-4.0), fourth ANC (29.6-38.1-1.2) and skilled birth (63.1-87.4-5.6), p<0.05. There were no statistically significant differences in the average number of clients obtaining services from CMs or health facilities between P1 and P2 (p>0.05). There was, however, a statistically significant increase in the average number of clients obtaining services from CMs in P3, which was accompanied by a statistically significant decline in the average number of clients of obtaining services from health facilities (p<0.05). First ANC increased by 68, fourth ANC by 75, skilled births by 68, and postnatal care by 33 percentage points in P3 (p<0.0001). There was a non-significant decline in macerated stillbirths and neonatal deaths in P3.Conclusions: The findings underscore the importance of integrating community-level health service providers (CMs and health volunteers) into the primary health care system to complement service delivery according to their level of expertise, especially in low-resource settings.
Discovery of Vanoxerine Dihydrochloride as a CDK2/4/6 Triple-Inhibitor for the Treatment of Human Hepatocellular Carcinoma
Authors: Zhu Ying , Ke Kun-Bin , Xia Zhong-Kun , Li Hong-Jian , Su Rong , Dong Chao , Zhou Feng-Mei , Wang Lin , Chen Rong , Wu Shi-Guo , Zhao Hui , Gu Peng , Leung Kwong-Sak , Wong Man-Hon , Lu Gang , Zhang Jian-Ying , Jiang Bing-Hua , Qiu Jian-Ge , Shi Xi-Nan , Lin Marie Chia-mi 
Published: September 2020

Abstract
Background: Cyclin-dependent kinases 2/4/6 (CDK2/4/6) play critical roles in cell cycle progression, and their deregulations are hallmarks of hepatocellular carcinoma (HCC).Methods: We used the combination of computational and experimental approaches to discover a CDK2/4/6 triple-inhibitor from FDA approved small-molecule drugs for the treatment of HCC. Results: We identified vanoxerine dihydrochloride as a new CDK2/4/6 inhibitor, and a strong cytotoxic drug in human HCC QGY7703 and Huh7 cells (IC50: 3.79 μM for QGY7703 and 4.04 μM for Huh7 cells). In QGY7703 and Huh7 cells, vanoxerine dihydrochloride treatment caused G1‑arrest, induced apoptosis, and reduced the expressions of CDK2/4/6, cyclin D/E, retinoblastoma protein (Rb), as well as the phosphorylation of CDK2/4/6 and Rb. Drug combination study indicated that vanoxerine dihydrochloride and 5-Fu produced synergistic cytotoxicity in vitro in Huh7 cells. Finally, in vivo study in BALB/C nude mice subcutaneously xenografted with Huh7 cells, vanoxerine dihydrochloride (40mg/kg, i.p.) injection for 21 days produced significant anti‑tumor activity (p<0.05), which was comparable to that achieved by 5-Fu (10mg/kg, i.p.), with the combination treatment resulted in synergistic effect. Immunohistochemistry staining of the tumor tissues also revealed significantly reduced expressions of Rb and CDK2/4/6 in vanoxerine dihydrochloride treatment group. Conclusions: The present study is the first report identifying a new CDK2/4/6 triple inhibitor vanoxerine dihydrochloride, and demonstrated that this drug represents a novel therapeutic strategy for HCC treatment.
Causal relationships between genetically determined metabolites and human intelligence: A Mendelian randomization study
Authors: Yang Jian , Zhao Binbin , Qian Li , Gao Fengjie , Fan Yanjuan , He Xiaoyan , Ma Qingyan , Yang Lihong , Yan Bin , Wang Wei , Ma Xiancang 
Published: September 2020

Abstract
Intelligence predicts important life and health outcomes, but the biological mechanisms underlying differences in intelligence are not yet understood. The use of genetically determined metabotypes (GDMs) to understand the role of genetic and environmental factors, and their interactions, in human complex traits has been recently proposed. However, this strategy has not been applied to human intelligence. Here we implemented a two-sample Mendelian randomization (MR) analysis using GDMs to assess the causal relationships between genetically determined metabolites and human intelligence. The standard inverse-variance weighted (IVW) method was used for the primary MR analysis and three additional MR methods (MR-Egger, weighted median, and MR-PRESSO) were used for sensitivity analyses. Using 25 genetic variants as instrumental variables (IVs), our study found that 5-oxoproline was associated with better performance in human intelligence tests (P IVW = 9 · 25×10 -5 ). The causal relationship was robust when sensitivity analyses were applied (P MR-Egger = 0 · 0001, P Weighted median = 6 · 29×10 -6 , P MR-PRESSO = 0 · 0007), and no evidence of horizontal pleiotropy was observed. Similarly, also dihomo-linoleate (20:2n6) and p-acetamidophenylglucuronide showed robust association with intelligence. Our study provides novel insight by integrating genomics and metabolomics to estimate causal effects of genetically determined metabolites on human intelligence, which help to understanding of the biological mechanisms related to human intelligence.
Investigation of availability, demand, targets, and development of Renewable Energy in 2017-2050: A case study in Indonesia
Authors: Erdiwansyah Erdiwansyah , Mahidin Mahidin , Husin Husni , Nasaruddin Nasaruddin , Khairil Khairil , Zaki Muhammad , Jalaluddin Jalaluddin 
Published: September 2020

Abstract
Abundant potential of renewable energy (hereinafter called RE) in Indonesia is predicted to replace conventional energy which continues to experience depletion year by year. However, until now, the use of RE has only reached 2% of the existing potential of 441.7GW. The main overview of this work is to investigate the availability of RE that can be utilized for electricity generation in Indonesia. National energy demand and targets in the long run during the 2017-2050 period are also discussed. Besides, government policies in supporting RE development are considered in this work. The results show that the potential of RE in Indonesia can be utilized and might replace conventional energy for decades. The use of RE for electricity generation can be achieved by employing a government policy that supports the investor as the executor of RE development. The selling price of electricity generated from RE is cheaper than electricity generated from fossils; this makes economy is more affordable for people. Finally, the target set by the government for utilizing RE as the main energy in Indonesia can be done by implementing several policies for the RE development. Thus, greenhouse gas emissions and the use of petroleum fuels can be reduced.