bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Utilization of Various Plant Type by the Community of Gunung Bunder Dua Village, Bogor Regency as a Resource of Biology Learning Process
Authors: Akmaliyah Rizna , Wardah Wardah , Cahyanto Tri , Krisdianti Apriani , Rahmawati Deasy 
Published: November 2020

The community of Gunung Bunder Dua Village, Bogor Regency is one area that still has plant knowledge and local wisdom in their daily life. This research aims to reveal the local wisdom of Gunung Bunder Dua villagers, Bogor Regency. The method used in the form of direct observation in the field with interview by selected speaker. This research was conducted from 17th June to 17th July 2019 at the village of Gunung Bunder Dua, Bogor Regency, West Java. The observations recorded were 72 species and 40 plant families, with some varieties of uses, namely 19 species of food plants, 56 species of medicinal plants and 3 species of economic value plants. The result of this reseach are used as source of biology learning such as a video containing ethnobotany information.Abstrak Masyarakat Desa Gunung Bunder Dua, Kabupaten Bogor termasuk salah satu daerah yang masih memiliki pengetahuan tumbuhan dan kearifan lokal dalam kehidupan sehari-harinya. Penelitian ini bertujuan mengungkap kearifan lokal masyarakat desa Gunung Bunder Dua, Kabupaten Bogor. Metode yang dilakukan berupa observasi langsung di lapangan dengan wawancara kepada narasumber terpilih. Penelitian ini dilakukan dari tanggal 17 Juni – 17 Juli 2019 bertempat di Desa Gunung Bunder Dua, Kabupaten Bogor, Jawa Barat. Terdapat 72 spesies dan 40 famili tumbuhan, dengan beragam kegunaan yaitu tumbuhan pangan 19 spesies, tumbuhan obat 56 spesies, dan tumbuhan bernilai ekonomi sebanyak 3 spesies. Hasil penelitian ini dijadikan sumber belajar biologi berupa video yang berisikan informasi etnobotani.
EXPLORING PRE-SERVICE TEACHERS’ PERCEPTION TOWARDS TEACHER PROFESSIONAL DEVELOPMENT
Authors: Fadilla Raisa 
Published: November 2020

Considering the role of teachers which is uneasy, it is necessary to develop an effective means of supporting and retaining teachers to provide good quality learning environment for students and a supportive work environment for teachers. Based on the urgency of professional development for teachers, pre-service teachers’ perception towards teacher professional development (TPD) becomes prominent to explore. The survey reflects the pre-service teachers’ perception with regard to professional development. The perception covers the most needed topics in TPD and the most needed learning activities which may give high impacts to their knowledge for teaching. This study involves pre-service teachers from English Department Batch 2016 who were taking internship program as English teachers in public or private schools in Banjarmasin.Regarding the pre-service teachers’ perception related to the needed topics, classroom management and knowledge of instructional practices in their subject field are the greatest area of development need followed by knowledge of their main subject and also ICT skills. On the concern of pre-service teachers’ perception related to most needed learning activities of TPD, courses or workshops is recognized as the most beneficial learning activities to improve teachers’ competences.The results of this study are expected to provide the basic thought for the implication for teacher preparation program in the future. Furthermore, the targeted implementation of the findings will give insights on the most needed professional development topics and most preferred learning activities which can be considered by the related institution when conducting teacher preparation program.
Vintage by vine interactions most strongly influence Pinot noir grape composition in New Zealand
Authors: Martin Damian , Grab Franziska , Grose Claire , Stuart Lily , Scofield Claire , McLachlan Andrew , Rutan Tanya 
Published: November 2020

Vine genetics, fruit maturity, region and vineyard are perceived as factors that strongly influence Pinot noir grape and wine composition. Our study aims to understand the relationship between grape (and ultimately wine) composition and the physical appearance and performance characteristics of a vine (i.e. vine ideotype). Our experimental approach controlled these variables by studying within-block differences in vine performance across multiple seasons and vineyards. Grapes were sourced at commercial harvest from 20 single vines from 12 vineyard sites in three Pinot noir growing regions (Central Otago, Martinborough and Marlborough) of New Zealand.Across three vintages yields ranged from 0.1 kg to 6.3 kg per metre, but there was no general relationship between yield and berry soluble solids. On a vine by vine basis normalised yields did not correlate among seasons. Berry extract colour measures were, on average, three-fold higher in 2019 than in 2018.Principal Component Analysis has indicated that vintage dominated berry composition effects that might otherwise be associated with yield per vine, region and vineyard. The extent of the variation in performance of the same vines between seasons largely excludes factors that are stable between seasons as primary causes. Changes in management of the same vine from year to year appeared the most likely contributors to variation. We have derived highly significant negative linear relationships between vine yield class and the frequency of vines that were within a benchmark specification established for icon vines, providing evidence of the quality risk associated with higher yield. The results also indicate that a proportion of vines meet the benchmark specification at higher yields. From results to date we can further our research confident in the knowledge that factors such as vine yield, region or vineyard are, in themselves, unlikely to be the principal drivers of major differences in Pinot noir grape and wine composition.
Quantifying Oil-Recovery Mechanisms during Natural-Gas Huff ‘n’ Puff Experiments on Ultratight Core Plugs
Authors: Tran Son , Yassin Mahmood Reza , Eghbali Sara , Doranehgard Mohammad Hossein , Dehghanpour Hassan 
Published: November 2020

Summary
Despite promising natural gas huff ‘n’ puff (HnP) field-pilot results, the dominant oil-recovery mechanisms during this process are poorly understood. We conduct systematic natural-gas (C1 and a mixture of C1/C2 with the molar ratio of 70:30) HnP experiments on an ultratight core plug collected from the Montney tight-oil formation, under reservoir conditions (P = 137.9 bar and T = 50°C). We used a custom-designed visualization cell to experimentally evaluate mechanisms controlling gas transport into the plug during injection and soaking phases and oil recovery during the whole process. The tests also allow us to investigate effects of gas composition and initial differential pressure between injected gas and the plug (ΔPi = Pg−Po) on the gas-transport and oil-recovery mechanisms. Moreover, we performed a Péclet number, NPe, analysis to quantify the contribution of each transport mechanism during the soaking period.
We found that advective-dominated transport is the mechanism responsible for the transport of gas into the plug at early times of the soaking period (NPe = 1.58 to 3.03). When the soaking progresses, NPe ranges from 0.26 to 0.62, indicating the dominance of molecular diffusion. The advective flow caused by ΔPi during gas injection and soaking leads to improved gas transport into the plug. Total system compressibility, oil swelling, and vaporization of oil components into the gas phase are the recovery mechanisms observed during gas injection and soaking, while gas expansion is the main mechanism during depressurization phase. Overall, gas expansion is the dominant mechanism, followed by total system compressibility, oil swelling, and vaporization. During the “puff” period, the expansion and flow of diffused gas drag the oil along its flowpaths, resulting in a significant flow of oil and gas observed on the surface of the plug. The enrichment of injected gas by 30-mol% C2 enhances the transport of gas into the plug and increases oil recovery compared to pure C1 cases.
Data Integration Process from Oil Characterization and Pvt Modeling to Reservoir Simulation for the East Cat Canyon Heavy Oil Field in California
Authors: Moog Guillaume J. , O'Sullivan Terry , Castellanos Diaz Orlando , Verlaan Marco A. 
Published: November 2020

Abstract
The characterization of live-oil properties and PVT modeling is a critical part of a reservoir description and dynamics study. This paper describes the data integration process from oil characterization through reservoir simulation on the Basal Sisquoc (BSq) Sands formation in the East Cat Canyon heavy oil field, located about 200 km NW of Los Angeles, California. Since heavy live-oil samples can be very challenging to acquire, PVT properties are often estimated by conducting laboratory assays on dead-oil samples and samples recombined with synthetic gas matching the formation gas composition. The results of these experiments are subsequently modeled and further integrated into a full-field simulation model for history matching or forecasting. This paper presents the complete process of PVT to simulation workflow adapting to the specifics of the East Cat Canyon field. It considered the distinctive gas composition characteristics of the field leading to a mismatch between previously modeled live-oil properties and actual field measurements. Challenges in the work arose from the complexity in modeling and honoring a large number of data coming from a variety of sources, collection locations and collection timing. The data integration process was further challenged by the strongly dipping, potentially faulted reservoir, characterized by strong variations of the oil properties and a rapidly decreasing oil API as a function of depth.
The work integrated and reconciled all data sources available to the authors, including more recent field observations, thus leading to a better representation of the oil properties and project's economics.
Failure Prediction for SRP using Analytic Solutions
Authors: Sirghii Viorica , Fruhwirth Rudolf Konrad , Hofstaetter Herbert , Pongratz Reinhard , Nirtl Michael 
Published: November 2020

Abstract
An innovative method for Sucker Rod Pump (SRP) failure prediction based on Improved Completely Connected Perceptron artificial neural networks (ANN) is presented. Results are compared to historical wellbore data. ANN models validity is proven to meet SRP failures prediction with a ±5% error, helping identify and prevent potential damages, reduce costs and risks, optimize production.
The process was set up in phases. In the Inception phase use cases were identified. A set of 5 million digital dynacards from 56 wells was selected altogether with complete wellbore data. Then data was processed, screened, quality controlled, created workflows and methods of use. Data driven ANN models were established and tested for an automatized pump state identification. Improved Completely Connected Perceptron models were trained based on manually labelled subsets and statistical and Elliptical Fourier Transform features. Sequential Forward Selection was applied for finding the most relevant features. Will be followed by a trend analysis, and failure prediction processes.
Initially data quality was verified and further used for training several models developed to filter out bad samples. Models performance was controlled and validated for quality assurance using multifold cross validation. Results were analyzed and compared by identifying their accuracy and precision. All models performed well and although the error difference between their performances was minor, the one with highest score was selected and applied. 88% of the initial dataset was identified as of a good quality.
In the second step a subset of data was manually labelled for pump states. In total, 11 states were found with "normal" being the highest occurrence, followed by "fluid pound", "gas interference" and others. This dataset was used for training the neural network models. Results were evaluated, processed and quality checked. The error analysis based on multifold cross validation and f1-score proved that resulted ANN models offer robust and consistent results, in every case up to 99% accuracy for dynacards state identification. Remaining data was fed in and QA&QC-ed. The occurrence of pump states remains the same as mentioned above.
Having such models, allows the application of a trend analysis for identifying the tendency of SRP performance over time accompanied by prevention and prediction of future failures in the system. Models can be easily updated as new data comes in without the need of retraining. In case of new conditions, our established QC tools allow fast and effortless retraining with high accuracy. Principles can be extended to other artificial lift systems.
Prognostic factors and survival according to tumour subtype in women presenting with breast cancer bone metastases at initial diagnosis: a SEER-based study
Authors: Li Xiao , Zhang XiaoLi , Liu Jie , Zhong Shen Yin 
Published: November 2020

Abstract
Background: Tumour subtype has a significant effect on bone metastasis in breast cancer, but population-based estimates of the prognosis of patients with bone metastases at breast cancer diagnosis are lacking. The aim of this study was to analyse the influence of tumour subtype and other factors on the prognosis and survival of patients with bone metastases of breast cancer.Methods: Using the Surveillance, Epidemiology, and End Results (SEER) Program data from 2012 to 2016, a retrospective cohort study was conducted to investigate stage IV breast cancer patients with bone metastases. Stage IV patient characteristics according to subtype were compared using chi-square tests. Overall survival (OS) and prognostic factors were compared using the Kaplan-Meier method and the Cox proportional hazards model, respectively.Results: A total of 3384 stage IV patients were included in this study; 63.42% were HR+/HER2-, 19.86% were HR+/HER2+, 9.34% were HR-/HER2-, and 7.39% were HR-/HER2+. The median OS for the whole population was 38 months, and 33.9% of the patients were alive at five years. The median OS and five-year survival rate were significantly different among stage IV breast cancer patients with different molecular subtypes (p<0.05). Multivariate Cox regression analysis showed that age of 55-59 (HR=1.270), black race (HR=1.317), grade III or IV (HR=1.960), HR-/HER2- (HR=2.808), lung metastases (HR=1.378), liver metastases (HR=2.085), and brain metastases (HR=1.903) were independent risk factors for prognosis; married status (HR=0.819), HR+/HER2+ (HR=0.631), HR-/HER2+ (HR=0.716), insurance (HR=0.587) and surgery (HR=0.504) were independent protection factors of prognosis. There was an interaction between the HR+/HER2+ subtype and other metastases (except bone metastases, HR=0.694, 95% CI: 0.485-0.992), but the interaction between race and subtype did not reach significance for prognosis.Conclusions: There were substantial differences in OS according to tumour subtype. In addition to tumour subtype, other independent predictors of OS were age at diagnosis, race, marital status, insurance, grade, surgery and visceral metastases. There was an interaction between the HR+/HER2+ subtype and other metastases (except bone metastases) for prognosis. Tumour subtype, as a significant prognostic factor, warrants further investigation.
The role of lymphocyte-monocyte ratio on axial spondyloarthritis diagnosis and sacroiliitis staging &nbsp;
Authors: Wang Jing , Su Jinyu , Yuan Yuan , Jin Xiaxia , Shen Bo , Lu Guoguang 
Published: November 2020

Abstract
Background: Axial spondyloarthritis (axial SpA)is a chronic inflammatory disorder involving the sacroiliac joints, that could lead to disability due to the failure of timely treatment. The lymphocyte-to-monocyte ratio (LMR) is an indicator of disease progression. However, its role in axial SpA remains unclear. The aim of this study was to investigate the role of LMR in axial SpA diagnosis, disease activity classification and sacroiliitis staging.Methods: Seventy-eight axial SpA patients and 78 healthy controls (HCs) were enrolled in this study. The diagnosis of axial SpA was performed according to the New York criteria or the Assessment of Spondyloarthritis international Society (ASAS) classification criteria, whereas the staging of sacroiliitis in axial SpA patients was determined by X-ray examination. Comparisons of LMR levels between groups were performed using t test. Pearson or Spearman correlation analysis were used to assess correlations between LMR and other indicators. Receiver operating characteristic (ROC) curves were used to determine the role of LMR in the diagnosis of axial SpA.Results: Higher neutrophil-to-lymphocyte ratio(NLR), red blood cell distribution width(RDW), platelet-to-lymphocyte ratio(PLR), mean platelet volume(MPV), erythrocyte sedimentation rate (ESR), and C-reactive protein(CRP) levels and lower red blood cell (RBC), hemoglobin (Hb), Hematocrit (Hct), LMR, alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBIL) and albumin/globulin (A/G) levels were noted in axial SpA patients compared to HCs. Positive correlations were observed between LMR and RBC, Hb, Hct and A/G, whereas negative correlations were found between LMR and NLR, PLR, AST, and TBIL (P< 0.05). ROC curves showed that the area under the curve(AUC) for LMR in the diagnosis of ankylosing spondylitis was 0.803 (95% CI =0.734-0.872) with a sensitivity and specificity of 62.8% and 87.2%, respectively, and the AUC (95% CI) for the combination of ESR, CRP and LMR was 0.975 (0.948-1.000) with a sensitivity and specificity of 94.9% and 97.4%, respectively. LMR levels were lower (P<0.05) and significant differences in LMR values were observed among different stages (P<0.05).Conclusions: Our study suggested that LMR might be an important inflammatory marker to identify axial SpA and assess disease activity and X-ray stage of sacroiliitis.
3D Culture and Characterization of Blood-Brain Barrier Endothelial Cells in a New Microfluidic Platform
Authors: Trennheuser Sebastian , Schmitt-Hoffner Felix , Mahringer Anne , Mesch Lena , Jones Peter , Stelzle Martin , Fricker Gert 
Published: November 2020

Abstract
Background: The blood-brain barrier (BBB) protects the central nervous system (CNS) from harmful substances in the peripheral blood stream and ensures brain homeostasis by regulating the transport of nutrients and metabolites. It also prevents many pharmaceutical drugs from reaching their target site and dysfunctions of the BBB are often associated with CNS diseases. In order to provide a new in vitro platform that allows the investigation of barrier characteristics of the BBB and drug transport under physiological and pathological conditions, the TransBBB system was developed. The microfluidic chip consists of ten parallel culture chambers, each allowing the cultivation of endothelial cells on a physiological matrix under perfusion.Methods: Porcine brain capillary endothelial cells (PBCECs) were cultivated on the surface of a hydrogel matrix resulting in a barrier which separates the culture chambers into two compartments. A protocol was established in order to obtain a tight cell layer under perfusion and the effect of different perfusion volumes on BBB formation was investigated. The barrier was then characterized in terms of cell viability, barrier integrity and expression of tight junction proteins.Results: PBCECs formed a tight cell layer on the hydrogel surface preventing FITC dextran from permeating the cellular barrier. The presence of ZO-1 at the cell borders was shown indicating a functional BBB. The perfusion experiments suggested a critical role of medium volume for cell layer integrity under perfusion conditions.Conclusions: The TransBBB chip presented here provides a promising, scalable microfluidic platform for the investigation of cellular barriers which can be integrated seamlessly into existing cell culture and drug testing workflows.
New insights into patterns of first metastatic sites influencing survival of patients with hormone receptor-positive, HER2-negative breast cancer: a multicenter study of 271 patients
Authors: Yamamura Jun , Kamigaki Shunji , Fujita Junya , Osato Hiroki , Manabe Hironobu , Tanaka Yumiko , Shinzaki Wataru , Hashimoto Yukihiko , Komoike Yoshifumi 
Published: November 2020

Abstract
Background: The initial therapeutic strategy for hormone receptor-positive (HR+), HER2-negative (HER2-) breast cancer is based on the first metastatic site, but little evidence is available regarding the influence of metastatic distribution patterns of first metastatic sites on prognosis. In this study, we aimed to identify the metastatic distribution patterns of first metastatic sites that significantly correlate with survival after recurrence.Methods: We performed a retrospective review of records from 271 patients with recurrent metastatic HR+/ HER2- breast cancer diagnosed between January 2000 and December 2015. We assessed survival after recurrence according to the metastatic distribution patterns of first metastatic sites and identified significant prognostic factors among the patients with single and multiple metastases.Results: Prognosis was significantly better in patients with single metastasis than those with multiple metastases (median overall survival after recurrence: 5.86 years vs. 2.50 years, p<0.001). No metastatic organ site with single metastasis was significantly associated with prognostic outcome, though single metastasis with diffuse lesions was an independent risk factor for worse prognosis (HR: 3.641; 95% CI: 1.856-7.141), and more easily progressed to multiple metastases (p=0.002). Multiple metastases including liver metastasis (HR: 3.145; 95% CI: 1.802-5.495) or brain metastasis (HR: 3.289; 95% CI: 1.355-7.937) were regarded as a significant independent poor prognostic factor, but multiple metastases not involving liver or brain metastasis were not significantly related to prognosis after recurrence.Conclusions: Single metastasis with diffuse lesions could more easily disseminate systemically and progress to multiple metastases, leading to poor prognosis similar to multiple metastases. Our findings indicate that reconsideration of the determinant factors of therapeutic strategies for first recurrence in HR+/HER2- breast cancer may be needed.