bluuebunny/crossref_metadata_2025_split huggingface dataset:
Objective Driven Solid Surface Roughness Characterization for Enhanced Formation Evaluation
Authors: Ma Shouxiang Mark , Leu Gabriela , Chen Songhua , Eid Mahmoud 
Published: October 2020

Abstract
Smooth solid surfaces of reservoir rocks are assumed in formation evaluation, such as NMR petrophysics and reservoir wettability characterization through contact angle measurements. Measuring the degree of surface roughness, or smoothness, and evaluating its effects on formation evaluation are topics of research. In this paper, we will primarily focus on details in characterizing solid surface roughness, though its applications will also be exemplified.
Surface roughness can be measured by methods of contacts and non-contacts techniques, such as stylus profilometer, atomic force microscopy, and different kinds of optical measurements. Each technique has different sensitivities, measurement artifacts, resolutions and sizes of field-of-view (FOV). Intuitively, while a finer resolution measurement provides the closest account of all surface details, the corresponding small FOV may compromise the representativeness of the measurement, which is particularly challenging for charactering heterogeneous samples such as carbonates. To balance the FOV and measurement representativeness, and to minimize artifacts, laser scanner confocal microscopy (LSCM) is selected in this study.
In developing a methodology for quantifying the surface roughness (R), more than 20 rock samples were selected to determine optimal resolutions for overall R quantification. Five symmetrical measurement areas were used per sample, as well as a range of magnifications to achieve resolutions from pore level of about 20 µm down to surface level of about 0.2 µm. The length scale of R is orders-of-magnitude smaller than the typical carbonate pore sizes; therefore, a pore size filter has been developed and applied to remove the solid surface pore size effect on R computation. Once the measurement is considered reliable, the R qualification, which is objective driven, is established.
Results for the more than 20 rock samples tested indicate that rocks with similar rock types have similar R values. Grainy limestones have relatively higher R values compared to dolostones, consistent to the latter's crystallization surface features. Muddy limestones have smoother surfaces, resulting in the lowest R values among the rocks studied. For sandstones, R varies with clay types and content. For rocks containing two distinct minerals, two R values are observed from the R profiles, which justifies the use of two surface relaxivity (ρ) values in NMR data processing of these rock types.
The second half of the paper is devoted to the use of R to improve the NMR based pore typing, i.e., the effect of solid roughness on the surface relaxivity, ρ, separated from mineralogy effects, thereby NMR based pore body size distribution. The importance of using R corrected ρ values is demonstrated with an excellent match between the enhanced NMR pore size distributions and that derived from independent measurement of micro-CT scanning.
From Field Operations to Economics: Breaking the Barriers. Next Level of Integration
Authors: Mukanov Adil , Saginbayev Almat , Salikhov Ruslan 
Published: October 2020

Abstract
Integrated production data management system (PDMS) solution is presented that incorporates three remote locations of the company's different departments (Field Operation, Engineering and Economics) into a single working environment. Automated workflows implemented on the basis of PDMS aimed to improve speed and efficiency of engineering analysis and economic planning.
PetroKazakhstan Kumkol Resources JSC operates a wellstock consisting of more than fifteen hundred wells. Operational data is loaded into a system on a daily basis at a central office on the field site. At this stage data is quality checked and used for production monitoring.
All information is automatically synchronized to the office in Kyzylorda city, where production back allocation is performed. Every month regulatory reports are generated from the system. Decline curve analysis forecasts at well level are frequently applied for daily routine economical assessment of well intervention and surface construction operations. Moreover, saved forecasts are also automatically available for budgeting purposes in Almaty office.
As a result of integrated PDMS solution, PKKR JSC engineers and economists get easy and automated access to raw operational data as well as results of allocated production and forecasting by the decline curve analysis (DCA). Automated workflows for back allocation, regulatory report generation and forecast result data sharing made different departments closer and decision making more efficient. Overall, data travel distance of about 1500 km.
Shared workspace with standard analytical templates (plots, reports, maps, forecasts) allowed engineers to promote best practices across organization, align reservoir surveillance and monitoring approach in a common standardized way. PDMS allows engineers, previously overloaded with manual data handling and reporting, to have more time to solve reservoir and production engineering problems. Meanwhile, the economists gain direct and automated access for DCA forecasts, performed by reservoir engineers, not only at field, but also at well level. This helps prioritize each well's economic potential and rank accordingly, which is critical in budget planning.
The novelty of integrated PDMS solution is that it brings a new level of integration of different departments into synergy. Teamwork spread beyond engineering, operations and geology, adding economists into the team to address today's operational challenges.
The Detrimental Impacts of Negative Age Stereotypes on the Episodic Memory of Older Adults: Does Social Participation Moderate the Effects?
Authors: Chan Stephen Cheong Yu , Au Alma May Lan , Lai Simon Man Kin 
Published: October 2020

Abstract
Background: Older adults' cognitive abilities can be impaired through priming of negative age stereotypes. However, it is unclear whether the effects of negative priming can be extended to episodic memory, which is believed to be the most age-sensitive type among the long-term memory systems, in Asian populations. Social participation has recently emerged as a potential protective factor for maintaining the cognitive function of older adults. The purpose of this study was to examine the effects of negative age stereotype priming on episodic memory and the moderating role of social participation in the priming effect.Methods: A total of 105 community-dwelling older adults residing in Hong Kong were randomly allocated to two experimental conditions. Participants were primed either with negative age stereotype words (n = 53) or neutral words (n = 52) using an implicit priming task. Episodic memory performance was assessed using the Hong Kong List Learning Task (HKLLT), which includes total learning, two delayed recalls and a recognition task. Analysis of covariance (ANCOVA) was used to assess group differences in the priming task and memory performance, while a series of moderation analyses were performed to examine the moderating effects of social participation.Results: The group that received negative age stereotype priming performed significantly worse than the group that received neutral words in their episodic memory test. Additional analyses showed that socially active individuals might be less prone to the effects of negative age stereotypes for the recognition task only.Conclusions: Older adults who are more socially active might be more immune to the effects of negative age stereotype priming on episodic memory. These results provide initial support for the hypothesis that social participation might act as an effective strategy to ward against negative age stereotype priming.Trial registrationClinicalTrials.gov: NCT04202120 (first posted December 17, 2019), (Retrospectively registered)
Body Weight Estimation of Yak Based on Cloud Edge Computing
Authors: Zhang Yu_an , Sun Zijie , Zhang Chen , Yin Shujun , Wang Wenzhi , Song Rende 
Published: October 2020

Abstract
In stock farming, the body size parameters and weight of yaks can reasonably reﬂect the growth and development characteristics, production performance and genetic characteristics of yaks. However, it is diﬃcult for herders to measure the body size and weight of yaks by traditional manual methods. Fortunately, with the development of edge computing, herders can use mobile devices to estimate the yak’s body size and weight. The purpose of this paper is to provide a machine vision-based yak weight estimation method for the edge equipment and establish a yak estimation comprehensive display system based on the user’s use of the edge equipment in order to maximize the convenience of herdsmen’s work. In our method, a set of yak image foreground extraction and measurement point recognition algorithm suitable for edge equipment were developed to obtain yak’s measurement point recognition image, and the ratio between body sizes was transmitted to the cloud server. Then, the body size and weight of yaks were estimated using the data mining method, and the body size estimation data were constantly displayed in the yak estimation comprehensive display system. 25 yaks in different age groups were randomly selected from the herd to perform experiments. The experimental results show that the foreground extraction method can obtain segmentation image with good boundary, and the yak measurement point recognition algorithm has good accuracy and stability. The average error between the estimated values and the actual measured values of body height, oblique length, chest depth, cross height and body weight is 1.95%, 3.11%, 4.91%, 3.35% and 7.79%, respectively. Compared with the traditional manual measurement method, the use of mobile end to estimate the body size and weight of yaks can improve the measurement eﬃciency, facilitate the herdsmen to breed yaks, reduce the stimulation of manual measurement on yaks, and lay a solid foundation for the ﬁne breeding of yaks in Sanjiangyuan region.
Global Scientific Output Trend for Akkermansia muciniphila Research: A Bibliometric and Scientometric Analysis
Authors: Dehghanbanadaki Hojat , Aazami Hossein , raftar shahrbanoo keshavarz azizi , Ashrafian Fatemeh , Ejtahed Hanieh-Sadat , Hashemi Ehsan , Tavassol Zahra Hoseini , Badi Sara Ahmadi , Siadat Seyed Davar 
Published: October 2020

Abstract
Background: Akkermansia muciniphila is an anaerobic bacterium residing in the healthy intestinal tract of host and its quantity has a negative correlation with various host diseases. This study for the first time provides a holistic bibliometric aspect of Akkermansia muciniphila research in the literature and shows the hot topic terms of these articles in any period of time.Methods: Scopus database was selected to retrieve documents relevant to Akkermansia muciniphila in any language up to 2019. The bibliometric profile of Akkermansia muciniphila articles including subject area, year distribution, citations, institutions, journals, authors, and countries was systematically characterized and the collaboration networks of authors and countries as well as the burst detection algorithm of the words in the titles, abstracts and keywords were visualized.Results: There is a progressive growing trend in research on Akkermansia from 2004 to 2019 with a total of 566 articles during this period. Out of 353 original articles, there are 194 animal studies (155 studies on mice) and 112 human studies. Also, 65 various diseases were investigated in these studies. The most focused conditions are obesity (71 articles) and type2 diabetes (39 articles). The United States is the leading country on Akkermansia publications (n=132), followed by China (n=95). Frontiers in Microbiology is the most dominant journal with 23 Akkermansia publications. In addition, “cancer” is the hot topic of recent Akkermansia research.Conclusion: Akkermansia research is of progressive interest during the last decade and the studies on this subject move towards its relationship with cancer and its promising effect on health.
Mesenchymal stem cells accelerated growth and metastasis of neuroblastoma and preferentially homed towards both primary and metastatic loci in orthotopic neuroblastoma model
Authors: YU Jiao-Le , CHAN Shing , Fung Marcus Kwong-Lam , Chan Godfrey Chi Fung 
Published: October 2020

Abstract
Background: Majority of neuroblastoma patients develop metastatic disease at diagnosis and their prognosis is poor with current therapeutic approach. Major challenges are how to tackle the mechanisms responsible for tumorigenesis and metastasis. Human mesenchymal stem cells (hMSCs) may be actively involved in the constitution of cancer microenvironment.Methods: In our study, an orthotopic neuroblastoma murine model was utilized to mimic the actual scenario. Human neuroblastoma cell line SK-N-LP was transfected with luciferase gene, which were inoculated with/without MSCs into the adrenal area of SCID-beige mice. The growth and metastasis of neuroblastoma was observed by using Xenogen IVIS 100 in vivo imaging and evaluating gross tumors ex vivo. The homing of MSCs towards tumor was analyzed by tracing fluorescence signal tagged on MSCs using CRI MaestroTM imaging system.Results: hMSCs mixed with neuroblastoma cells significantly accelerated tumor growth and metastasis of neuroblastoma in vivo. hMSCs could be recruited by primary tumor and also become part of the tumor microenvironment in the metastatic lesion. The metastatic potential was significantly reduced when hMSCs were pre-treated with stromal cell derived factor-1 (SDF-1) blocker, AMD3100, suggesting that the SDF-1/CXCR4 axis was a prime mover in the metastatic process.Conclusions: MSCs accelerated and facilitated tumor formation, growth and metastasis. Furthermore, the homing propensity of MSCs towards both primary tumor and metastatic loci can also provide new therapeutic insights in utilizing bio-engineered MSCs as vehicles for targeted anti-cancer therapy against advanced cancers.
Comparative transcriptome&nbsp;analysis&nbsp;of genes involved in the drought stress response of two&nbsp;peanut&nbsp;(Arachis hypogaeaL.) varieties
Authors: Jiang Chunji , Li Xinlin , Zou Jixiang , Ren Jingyao , Jin Chunyi , Zhang He , Yu Haiqiu , Jin Hua 
Published: October 2020

Abstract
Background: The peanut is one of the most important oil crops worldwide. Qualities and yields of peanut can be dramatically diminished by abiotic stresses particularly by drought. Therefore, it would be beneficial to gain a comprehensive understanding on peanut drought-responsive transcriptional regulatory activities, and hopefully to extract critical drought-tolerance-related molecular mechanism from it. Results: In this study, two peanut Arachis hypogaea L. varieties, NH5 (tolerant) and FH18 (sensitive), which show significantly differential drought tolerance, were screened from 23 main commercial peanut cultivars and used for physiological characterization and transcriptomic analysis. NH5 leaves showed higher water and GSH contents, faster stomatal closure, and lower relative conductivity (REC) than FH18. Under the time-course of drought-treatments 0 h (CK), 4 h (DT1), 8 h (DT2) and 24 h (DT3), the number of down-regulated differential expressed genes (DEGs) increased with the progression of treatments indicating repressive impacts on transcriptomes by drought in both peanut varieties. Conclusions: Nevertheless, NH5 maintained more stable transcriptomic dynamics than FH18. Furthermore, annotations of identified DEGs implicate signal transduction, the elimination of reactive oxygen species, and the maintenance of cell osmotic potential which are key drought-tolerance-related pathways. Finally, evidences from the examination of ABA and SA components suggested that the fast stomatal closure in NH5 was likely mediated through SA rather than ABA signaling. In all, these results have provided us a comprehensive overview of peanut drought-responsive transcriptomic changes, which could serve as solid foundation for further identification of the molecular drought-tolerance mechanism in peanut and other oil crops.
Disparities in Cervical Cancer Screening Participation in Iran: a Cross-sectional Analysis of the 2016 Nationwide Steps Survey
Authors: Amin Rozhin , Kolahi Ali-Asghar , Jahanmehr Nader , Abadi Ali-Reza , Sohrabi Mohammad-Reza 
Published: October 2020

Abstract
Background: One of the most important concerns in every healthcare system is the elimination of disparities in health service utilization and achievement of health equity. This study aims to investigate the disparities in cervical cancer screening participation in Iran.Methods: A cross-sectional study was conducted using data from the National Non-Communicable Risk Factors Survey in 2016 (STEPs 2016). Data on cervical cancer screening in addition to demographic and socio-economic factors from 15975 women aged 18 and above were analyzed. The distribution of surveyed women with regard to cervical cancer screening practice was described. Chi Square and logistic regression were used to assess the association of demographic and socio-economic factors with cervical cancer screening participation.Results: Overall, 52.1% of women aged 30-59 years, had undergone cervical cancer screening at least once in their lifetime. Participation rate in cervical cancer screening programs varied between provinces; ranging from 7.6% in Sistan and Baluchestan to 61.2% in Isfahan. Single marital status, illiteracy, being employed, and having no insurance coverage were associated with lower participation. Age and area of residence were insignificant predictors for participating in cervical cancer screening program. Analysis of the cervical cancer uptake rates across the socio-economic levels revealed that the service is less utilised by high income groups.Conclusions: Participation in cervical cancer screening program in Iran is not optimal and could be improved. With regard to the distribution of cervical cancer screening practice, social and geographical disparities indicate the need for further research and more comprehensive strategies in order to reduce them.
Recruitment And Retention Of Participants From Socioeconomically Deprived Communities: Lessons From The Awareness And Beliefs About Cancer (ABACus3) Randomised Controlled Trial.
Authors: Kolovou Vasiliki , Moriarty Yvonne , Gilbert Stephanie , Quinn-Scoggins Harriet , Townson Julia , Padgett Louise , Owen Sioned , Buckle Peter , Edwards Adrian , Hepburn Julie , Lau Mandy , Matthews Maura , Mitchell Caroline , Neal Richard , Playle Rebecca , Robling Michael , Smits Stephanie , Trubey Robert , Wood Fiona , Brain Kate 
Published: October 2020

Abstract
Background: Recruitment of research participants poses challenges in socioeconomically deprived areas. The Awareness and Beliefs About Cancer (ABACus) phase 3 Randomised Control Trial recruited adult participants from socioeconomically deprived areas using a combined healthcare/community engagement model. We report the strategies used to successfully recruit and retain our trial participant sample.Methods: Community and healthcare settings in areas of high socioeconomic deprivation were identified by lay advisors who recruited participants opportunistically or by appointment. Follow-up was done by telephone or post at 2-weeks and 6-months after recruitment, and all participants were offered financial incentives. Qualitative interviews were conducted with lay advisors regarding their experience and reflections.Results: The lay advisors identified and contacted 107 potential recruitment venues across South and West Yorkshire and South East Wales of which 41.1% (n= 42) were opened for recruitment. A total of 234 participants were recruited, with 91% (n= 212) retention at 2-weeks and 85% (n= 199) at 6-months. Community settings yielded 75% (n= 176) of participants. Participants had a mean age of 61.3 years and 63.3% (n= 148) were female, with 66% (n= 154) resident in the most deprived geographical areas. Lay advisors described recruitment as intensive, although engaging participants was easier in community settings.Conclusions: The ABACus3 trial achieved recruitment and high retention with a population that is often “hard to reach” or entirely missed in health research. Strategies were specifically tailored to engage the venues and adult residents of highly deprived areas. Future studies recruiting adults living in the most deprived areas might benefit from community recruitment and from collaborating with local gatekeepers who are key to engagement.This study adheres to CONSORT guidelines.Trial Registration: Retrospectively registered with ISRCTN (http://www.isrctn.com/ISRCTN16872545) on 12.01.2018.
Coagulation parameters are associated with the prognosis of immunoglobulin A nephropathy: a retrospective study
Authors: Xia Ming , Liu Di , Peng Liang , Li Yan , Liu Haiyang , Wu Lingzhi , Chen Guochun , Liu Yu , Liu Hong 
Published: October 2020

Abstract
Background. Interstitial fibrosis/tubular atrophy (T) score is a known determinant of the progression of immunoglobulin A nephropathy (IgAN). Strong evidence indicates that the components of the coagulation system closely linked with fibrotic events have been highlighted in the kidney. However, whether the coagulation system can affect the renal outcome of IgAN remains unclear. Herein, we investigated the association of coagulation parameters and pathological phenotype of IgAN and their combined effects on the deterioration of renal function.Methods. This retrospective study included N=291 patients with biopsy-proven IgAN from May 2009 to April 2013 in the Second Xiangya Hospital. Clinical data, pathological features were collected, and the associations of coagulation parameters at biopsy, T score, and renal outcome were evaluated. T score indicated the degree of tubular atrophy or interstitial fibrosis. The renal outcome was defined as an end-stage renal disease (ESRD) or an irreversible 50% estimated glomerular filtration rate (eGFR) reduction. Results. Shorter prothrombin time (PT) and the activated partial thromboplastin time (APTT) were significantly associated with T (both p<0.001). PT (<11.15s) or APTT (<29.65s) had worse cumulative survival rate (p=0.008, p=0.027 respectively) and were significantly but not independently associated with a higher risk of renal outcome (p=0.012, p=0.032 respectively). In the combined analyses of PT, APTT, and T lesions, the odd ratios for the outcome were significantly higher in the presence of T with PT (<11.15s) or APTT (<29.65s).Conclusion. Shorter PT and APTT are associated with an increased incidence of the T lesion and are additional factors that portend a poorer prognosis in IgAN. Monitoring coagulation function might be important when assessing the risk of progression. Additional studies exploring the molecular mechanism between coagulation and IgAN pathology are needed.