bluuebunny/crossref_metadata_2025_split huggingface dataset:
Learnings from the Planning and Execution of a Heavy Oil Polymer Flood Pilot in North Saskatchewan, Canada
Authors: Raffa Duilio , Abedini Ali 
Published: March 2023

AbstractThe oil recovery in Section 14-50-25W3 (province of Saskatchewan, Canada) has evolved through multiple stages as technology has changed over time. Oil was initially produced through vertical wells beginning in the early 1970s. In the 2010s horizontal drilling was established and the Lloydminster sandstone formation was produced on primary with horizontal wells. In 2014 the secondary waterflooding was implemented. At the beginning of 2018 a tertiary polymer flood was implemented and is still running (year 2022). Along the past several years three different injection fluid viscosities were injected.The discussion centers on the water and polymer flood displacement process performance and its implications for wells operation and economics.Performance to date is discussed in detail and learnings and future steps are presented in the conclusions.
Digital Cloud Enables Evolution of Well Construction Workflows: A First Look at Global Results
Authors: Vij Jitesh 
Published: March 2023

AbstractWell construction and planning is a complex process that requires expertise in numerous disciplines and is conventionally performed using multiple stand-alone domain-specific software. The iterative nature of planning needs several reviews, and it is often impractical to analyze multiple scenarios in the stipulated time available to well planners. For instance, a change in trajectory may cause a geologist to update the formation tops, which in turn might lead to further changes in the trajectory. This should also require changing the casing shoe depths, hydraulics design (possibly including BHA, fluids and bits design), top of cement and cement volumes, casing design, kick tolerance, etc. Moreover, these engineering calculations need to be performed using different types of software, which makes them even more cumbersome.For these applications, cloud-based solutions provide a number of distinct advantages over traditional approaches using stand-alone, silo-based on-premise software. A cloud-based solution brings all the domains into a single system and utilizes the powerful computing capabilities of the cloud—which would not be available to a desktop-based solution—to analyze multiple scenarios and automate repetitive tasks. These solutions provide optimized workflows that help planning teams optimize results by giving them access to all the data and science they need in a single, common collaborative system. Cloud-based systems provide a new way to communicate and share information while eliminating multiple data transfers and manual inputs. Vendors can work directly within the system, reducing design iterations and massively simplifying information exchange. Engineers can simulate various scenarios using automated offset-well analysis dashboards to decide the best plan more quickly.This paper discusses the benefits of a cloud-based collaborative well-planning solution as experienced by various operators. In the cases presented in this paper, operator legacy workflows were mapped by interviewing various domain experts and by analyzing existing standards and documents. Numerous stakeholders were consulted to understand each step of the well-design workflow. Following this, any duplicative and time-consuming steps were optimized or removed. Discussions with subject matter experts (SMEs) and management teams helped to understand the desired and potential capabilities to align with the digital vision of each operator's organization. Proof-of-value projects and actual deployments were undertaken, where asset teams were trained and real wells were designed using the recommended workflow of the cloud-native solution.
Reducing Simulation Time in a Huff-And-Puff Gas Injection Project in Complex Shale Reservoirs: Sequence-Based Proxy Multi-Porosity Reservoir Simulator
Authors: Aranguren Cristhian , Rodríguez Araque Carlos , Cuervo Santiago , Fragoso Alfonso , Aguilera Roberto 
Published: March 2023

AbstractThe objective of this project is to explore cutting-edge sequence-based machine learning models commonly used in language processing to reproduce a multi-porosity reservoir simulator. The proposed method integrates advanced techniques to significantly reduce the numerical simulation time and improve the decision-making process for Huff and Puff (H-n-P) gas injection optimization in shale reservoirs. The proposed approach follows three crucial steps to predict an output sequence given an input sequence: 1) the simulation results should be validated against actual data, 2) train and validate a machine learning model using simulation results from either commercial or in-house numerical simulators, 3) exhaustive exploration of hyperparameter tuning and selection of machine learning techniques, such as sequence-to-sequence (Seq2Seq), Luong attention and ConvLSTM. The proxy model considers as input variables well control parameters such as injection and production periods, number of cycles and gas injection rates to estimate the proxy model results.The multi-porosity proxy reservoir simulation model is a complementary tool that integrates numerical simulation and data-driven techniques. Although tuning the model typically demands significant time, it can speed up the simulation time up to 20,000X allowing for generating hundreds or even thousands of scenarios at the expense of accepting a reduction in the accuracy of the results in a matter of minutes. One of the most notable findings is that considering a small training dataset, the proxy model can reproduce the capabilities for predicting oil production in complex low and ultra-low permeability reservoirs with significantly reduced error, relative to the multi-porosity reservoir simulator. Finally, the possibility of reproducing a considerable number of scenarios in minutes opens the door to exploring different well control configurations such as injection and production periods, number of cycles and gas injection rates. The novelty of the proxy multi-porosity reservoir simulator is to notably accelerate the numerical simulation time by using techniques capable of solving sequence learning problems in which the output is dependent on previous outputs.
The footprint of human-induced climate change on heat-related deaths in the summer of 2022 in Switzerland
Authors: Vicedo-Cabrera Ana , de Schrijver Evan , Schumacher Dominik L. , Ragettli Martina , Fischer Erich , Seneviratne Sonia 
Published: March 2023

Abstract
As in most countries in Europe, the 2022 summer in Switzerland was exceptionally hot, only comparable to the infamous 2003 summer, and particularly devastating in terms of excess health burden. Here we combine methods in climate epidemiology and attribution to quantify the mortality associated with heat and the contribution of human-induced climate change in the 2022 summer in Switzerland. We estimate 623 deaths [95% empirical confidence interval (95% eCI): 151 - 1,068] due to heat between June-August 2022, corresponding to 3.5% of all-cause mortality. More importantly, we find that 60% of this burden (370 deaths [95% eCI: 133-644]) could have been avoided in absence of human-induced climate change. Older women were affected the most, as well as populations in western and southern Switzerland and more urbanized areas. Our findings demonstrate that human-induced climate change was a relevant driver of the exceptional excess health burden observed in Switzerland.
Antimicrobial effect of edible mixed herbal extracts on oral microorganisms
Authors: Yoon Se Eun , Choi Byul Bo Ra , Nam Seoul Hee , Kim Gyoo Cheon 
Published: March 2023

Abstract
Background The oral cavity is inhabited by pathogenic bacteria, the growth of which is inhibited by synthetic oral drugs composed of antibiotics or chemical compounds. However, upon long-term use, the negative side effects of these drugs outweigh their benefits. Natural antimicrobial substances that do not elicit negative side effects may serve as effective synthetic agent substitutes for long-term use. Therefore, we evaluated the effects of edible mixed herbal extracts, comprising Schizonepeta tenuifolia Briq., Mentha piperascens, Acanthopanax sessiliflous Seem., and Glycyrrhiza uralensis, on oral pathogenic bacteria.
Methods The yield of each herbal extract was as follows: 5% S. tenuifolia, 10.94% M. piperascens, 5.47% A. sessiliflous, and 10.66% G. uralensis. For each extract, antimicrobial tests, morphological analysis using scanning electron microscopy, microbial surface hydrophobicity measurements, and oral malodor reduction tests, were performed.
Results The mixed herbal extracts significantly inhibit the growth of Streptococcus mutans, Enterococcus faecalis, Candida albicans, and Porphyromonas gingivalis compared to growth in the control group. Scanning electron microscopy results further reveal altered cellular morphology in the groups treated with mixed herbal extracts. Additionally, the hydrophobicity assay results show that the mixed herbal extracts reduce the oral adhesion of bacteria. Levels of volatile sulfur compounds, as the main components of oral malodor, are also reduced by the mixed herbal extracts.
Conclusions The edible mixed herbal extracts effectively eliminate oral pathogens and may be useful for improving oral health.
Molecular subtypes of breast cancer: secular improvement in prognosis
Authors: Vatten Lars Johan , Skovlund Eva , Valla Marit , Engstrøm Monica J , Opdahl Signe , Bofin Anna M 
Published: March 2023

Abstract
Background: Prognostic improvement over time may differ between molecular breast cancer subtypes.
Methods: Molecular subtypes of breast cancer (denoted Luminal A, Luminal B (HER2-), Luminal B (HER2+), HER2 type, and Triple negative) were determined by immunohistochemistry and in situhybridization applied to tissue microarrays (TMA) from archival diagnostic material. Analyses included 1957 incident cases diagnosed in three population studies over more than 30 years of observation. To study differences in prognosis over time, we compared 10-year risk of death for each subtype between specified diagnostic periods.
Results: Luminal A was most frequent (47.9%) followed by Luminal B (HER2-) (28.2%), Luminal B (HER2+) (9.0%), Triple negative (9.2%) and the HER2 subtype (5.7%). Between 1990 and 2000, the 10-year risk of death from breast cancer decreased substantially for each subtype, compared to before 1990. After 2000, the decrease continued for Luminal A and HER2 patients, but there was no further decrease for Triple negative patients.
Conclusion: The observed improvement in prognosis during the 1990s may primarily be attributed to modern oncological treatment. After 2000, the improvement for Luminal A coincides with implementation of organized mammography screening, whereas the strong improvement for HER2 patients may be due to novel targeted treatment.
Zoom in: A Psycho-Institutional Intervention Improves Minority Student’s Grades in Two Field Experiments
Authors: Endevelt Kinneret , Halperin Eran , porat Roni 
Published: March 2023

Abstract
Improving minority’s achievements in higher education is a crucial step towards closing the inequality gap. In this paper we introduce a new psycho-institutional approach targeting institutional changes that affect psychological processes that are necessary for minority’s success. We tested this approach in two field experiments in Israel (n > 20,000). Our intervention involved reconstructing institutional virtual spaces in a manner that signals to minority students that they belong. This was achieved by manipulating how lecturer’s name appeared on Zoom so that instead of the default option (i.e., Hebrew or English only) it appeared in three languages: Arabic, Hebrew, and English. This approach positively affected minority students’ sense of belonging, class participation, and grades (a 7.5-point class grade increase in experiment 1, and a 4-point semester grade increase in experiment 2). Taken together, these studies provide a new framework for designing interventions that can meaningfully impact minority’s outcomes.
ZmDRR206 involves in maintaining cell wall integrity during maize seedling growth and interaction with the environment
Authors: Ye Jianrong , Zhong Tao , Deng Suining , Li Yanmei , Fan Xingming , Xu Mingliang 
Published: March 2023

Abstract
Plants adaptively change their cell wall composition and structure during their growth, development, and interactions with environmental stresses. Dirigent proteins (DIRs) contribute to environmental adaptations by dynamically reorganizing the cell wall and/or by generating defense compounds. Here, we established that maize DIR, ZmDRR206, mediates maize seedling growth and disease resistance by coordinately regulating biosynthesis of cell wall components for cell wall integrity (CWI) maintenance. The expression of ZmDRR206 increased rapidly in maize seedling upon pathogen infection. Both overexpression and mutation of ZmDRR206 resulted in small kernel and diminished seedling growth; while ZmDRR206-overexpression increased disease resistance, enhanced drought tolerance and reduced photosynthetic activity, thus caused the maize seedlings to show a growth and defense trade-off phenotype. Consistently, ZmDRR206-overexpression reduced the contents of primary metabolites and down-regulated the photosynthesis-related genes; while increased the contents of major cell wall components and defense phytohormones and up-regulated defense- and cell wall biosynthesis-related genes in maize seedlings grown under non-stress conditions. Furthermore, ZmDRR206 physically interacted with ZmCesA10 in yeast and in planta. Our findings unravel a mechanism that ZmDRR206 coordinately regulates biosynthesis of cell wall components for CWI maintenance during maize seedling growth, providing opportunities for breeding strong disease resistance in maize.
Relationship between first trimester physical activity and premature rupture of membranes: a birth cohort study in Chinese women
Authors: Lv Chuanzhu , Lu Qian , Yan Shijiao , Chen Huanjun , Pan Xiongfei , Wang Rixing , Fu Chao , Song Xingyue 
Published: March 2023

AbstractObjective We aimed to examine prospective associations of different intensity levels and types of physical activity (PA) in early pregnancy with premature rupture of membranes (PROM) among Chinese pregnant women. Methods A total of 6284 pregnant women were included from the Tongji-Shuangliu Birth Cohort. Household/caregiving, occupational, sports/exercise and transportation activities during early pregnancy were investigated by the pregnancy physical activity questionnaire (PPAQ), and the diagnosis of PROM was ascertained during the whole pregnancy. Data were analyzed by multivariable logistic regression, the odds ratio (OR) and 95% confidence interval (CI) were calculated. Results 1246 were identified to have PROM (19.8%). Women undertaking the highest level (3 third tertile) of PA during pregnancy appeared to have a lower risk of PROM [OR = 0.68, 95%CI 0.58–0.80) when compared to those at the lowest tertile of PA. Similarly, women with increased levels of light intensity activity, moderate-vigorous intensive, household/caregiving activity and meeting exercise guidelines during pregnancy were associated with reduced risks of PROM (OR = 0.69, 95% CI 0.59–0.81, OR = 0.70, 95% CI 0.60–0.82, OR = 0.62, 95% CI 0.53–0.73 and OR = 0.82, 95% CI 0.70–0.97, respectively). Conclusions High levels of PA of different intensities and PA of household/caregiving activities and meeting exercise guidelines during the first trimester were associated with a lower incidence of PROM. Trial registration: The data of human participants in this study were conducted in accordance with the Helsinki Declaration. This study has been approved by the Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ([2017] No. S225). All participants provided written informed consent prior to enrollment. A statement to confirm that all methods were carried out in accordance with relevant guidelines and regulations.
GFP-expressing prostate cancer cells demonstrate attenuated tumorigenicity through regulation of energy metabolism, translational activity, and cytoskeletal dynamics: a proteomic study
Authors: Yanar Sevinc , Sarihan Mehmet , Kasap Murat , Akpinar Gurler , Teke Kerem , Yaprak Busra 
Published: March 2023

Abstract
Background
Green Fluorescent Protein is widely used as a cellular marker tool, but its potential influence on cells has been questioned. Although the potential off-target effects of GFP on tumor cells have been studied to some extent, the findings at the molecular level are insufficient to explain the effect of GFP expression on the tumorigenic capacity of cancer cells. Here, we aimed to investigate the effect of GFP expression on the tumorigenicity of PC3 prostate cancer cells.
Methods and Results
Using GFP-expressing and wild-type PC3 cells, xenograft models were generated in athymic BALB/C mice. To identify differentially expressed proteins, the change in the proteome of cells was investigated by label‐free quantification with nano‐high performance liquid chromatography to tandem mass spectrometry (nHPLC‐MS/MS). The proteins that showed significantly altered expression levels were evaluated using the bioinformatics tools. The results showed that GFP-expressing cells, in contrast to the wild-type cells, failed to develop tumor. Label-free quantification revealed a total of 216 differentially regulated proteins, of which 98 were upregulated and 117 were downregulated.
Conclusion
Upon GFP expression, the immune system, translational machinery, energy metabolism, elements of cytoskeletal and VEGF signaling pathway were regulated. Alterations in these cellular events caused attenuated tumorigenicity. Therefore, ultimate care should be taken into account to prevent reporting deceitful mechanisms generated from studies utilizing GFP.
Cell Line Treatment using Titanium dioxide Nanoparticles Irradiated by UV and IR Radiation
Authors: Saad A. F. , Selim Y. A. , Hamada M. , Elywa M. 
Published: March 2023

Abstract
Cancer is a disease characterized by abnormal cell growth in body tissues. In general, there are numerous different treatments for cancer, including surgery, chemotherapy, and radiation therapy. These therapies do, however, have negative impacts on healthy cells. The TIO2NPs is one of many pharmacological targets for the treatment of cancer by preventing cell division. Therefore, in this study, we investigated In vitro cytotoxic effects of TIO2 nanoparticles on the growth of HuH-7cells (human Hepatocellular cancer cell line). The UV–Vis (ultraviolet–visible) spectra and The cytotoxic effect have been studied of TIO2 nanoparticles after exposure to 250 W IR-radiation lamp and 11 W UV-radiation lamp for various times ranging from 2.5 to 20min and 0.5 to 10 hour respectively. The cytotoxic effect was evaluated by measuring the numbers of viable cells were determined by the MTT test. The relation between surviving cells and drug concentration is plotted to get the survival curve of each tumor cell line after treatment with the specified compound. The 50% inhibitory concentration (IC50), the concentration required to cause toxic effects in 50% of intact cells, was estimated from graphic plots of the dose response curve for each conc.
Maternal immune activation during pregnancy is associated with worst socio-adaptive behaviors in autism spectrum disorders
Authors: Ellul Pierre , Maruani Anna , Vantalon Valérie , Humeau Elise , Amestoy Anouck , Anchordoqui Andrea , Atzori Paola , Baleyte Jean-Marc , Benmansour Safiyah , Bonnot Olivier , Bouvard Manuel , Cartigny Ariane , Coulon Nathalie , Coutelle Romain , Fonseca David Da , Demily Caroline , Givaudan Marion , Gollier-Briant Fanny , Guénolé Fabian , Koch Andrea , Leboyer Marion , Lefebvre Aline , Lejuste Florian , Levy Charlotte , Mendes Eugénie , Robert Natalia , Schroder Carmen M , Speranza Mario , Zante Elodie , Peyre Hugo , Rosenzwajg Michelle , Klatzmann David , tchitchek nicolas , DELORME Richard 
Published: March 2023

Abstract
Background
Autism spectrum disorders (ASD) are neurodevelopmental disorders characterised by deficits in social communication or interaction and repetitive behaviours. Maternal immune activation (MIA) during the mid-pregnancy is a known risk factor for ASD. Although reported in 15% of affected individuals, little is known about the specificity of their clinical profiles. Adaptive skills represent a holistic approach to a person's competencies and reflect specifically in autism, their strengths and difficulties.
Methods
In this study, we hypothesised that individual with ASD with a history of MIA (MIA+) could be more severely socio-adaptively impaired than those without MIA during pregnancy (MIA−). To answer this question, we considered two independent cohorts of individuals with ASD (PARIS study and FACE ASD) screened for pregnancy history, and used a supervised and unsupervised statistical approach.
Results
We included 295 mother-child dyads with 14% of them with MIA+. We found that ASD-MIA+ individuals displayed more severe maladaptive behaviors, specifically in their socialization abilities. MIA+ directly influenced individual's socio-adaptive skills, independent of other covariates, including ASD severity. Interestingly, MIA+ may affected persistently the socio-adaptive behavioral trajectories of individuals with ASD.
Limitations
: The current study has a retrospective design with possible recall bias regarding the MIA event and, even if pooled from two cohorts, has a relatively small population. In addition, we were limited by the number of covariables available potentially impacted socio-adaptive behaviors. Larger prospective study with additional dimensions related to ASD is needed to confirm our results
Conclusions
Specific pathophysiological pathways may explain these clinical peculiarities of ASD- MIA+ individuals, and may open the way to new perspectives in deciphering the phenotypic complexity of autism and for the development of specific immunomodulatory strategies.