bluuebunny/crossref_metadata_2025_split huggingface dataset:
BI Dashboarding Application in Reservoir Simulation
Authors: Wang Ke , Al Araimi Wadha Mubarak 
Published: March 2023

AbstractA Business Intelligence (BI) tool is a type of software that is used to gather, process, analyze and visualize a large volume of data, whether it is historical data, live data or forecasting data for the future. The objective of implementing BI tool is to create interactive reports, generate actionable business insights, and to simplify / accelerate the decision-making process.Depending on the size and the maturity of their fields, reservoir engineers often have to deal with a tremendous quantity of data from various categories such as simulation input or output, within challenging timelines. It is not uncommon that simulation REs spend the majority of their time in data pre/post-processing, grouping, filtration and setting up visualization templates, before being able to finally perform some value-adding results analysis and eventually improve the model forecasts.This paper focus on the applications of dashboarding in reservoir engineering and simulation work using a popular BI software (Spotfire®) that is outperforming in many ways some industry-standard software, with objective of promoting the BI dashboarding culture within reservoir engineer population.Depending on the purpose, various types of dashboard could be built, which allow RE users to better discover patterns and unveil the real meaning behind the data. In this paper, three templates (including history matching quantitative assessment, scenario comparator and PVT data QC) currently adopted by Abu Dhabi National Oil Company (ADNOC) Onshore asset are illustrated. Benchmarking against some conventional industry-standard tools is also performed to highlight their added-value.As a result, in the context of a 2G & R integrated model review for a multi-billion-barrels reservoir, some concrete examples focusing on BI dashboarding assisted well-by-well history match is illustrated, which showcases how simulation REs could boost their daily work efficiency and create added value to the organization.
Challenges to Opportunity: Getting Value Out of Unstructured Data Management
Authors: Kumar Pranav , Tveritnev Alexey , Jan Salahuddin Abdullah , Iqbal Rauf 
Published: March 2023

Abstract
The phrase unstructured data usually refers to information that doesn't reside in a traditional row-column database. The larger part of enterprise data nearly 80 %, is unstructured and has been much less accessible. From email, text documents, study reports, presentations, memos, to audios, videos and more, unstructured data is huge body of information. This paper proposes a work in progress model to deal with unstructured data management.
In any E&P company, there is data lying in unstructured format including, local drives, network drives, share points, emails, etc. Data sensitivity plays an important role in classifying the data. Irrespective of the classification, it still holds a valuable information, which can be used for predicting business problems in analytical way. The way knowledge is shared among business through email, attachments, flat files, presentations, it requires a robust system/solution to manage the unstructured data. One of the examples could be, related to decision making. Business decision making happens over email or phone calls. There is a huge knowledge potential that exists in the emails of the business. There is a need to extract this information in a way that, it can be utilized in future for analytical decision making. Duplication is an important aspect of unstructured data managed which needs to be tackled. If we scan the current system, we can find various copies of same document, lying at different places in the organization. Same data keeps on circulating among the business users, thus causing the duplications. By having a system that controls the duplication of unstructured data in a meaningful way, will be beneficial for the organization.
With the ongoing advancements in Machine learning and Natural language processing with combined analytical tools, time has come to extract value out of unstructured data. The proposed method will be to identify, gather and classify the unstructured data. Create and use a content management tool to organize and manage the unstructured data.Create a standard engine to deal with unstructured data, without having to convert it to structured data format. Apply an analytical engine at the top of this content and do prediction on the data. Whenever a new data comes into the content management, it gets ingested into the prediction analysis tool to assist business in decision making.
The role of neutrophils in the regeneration of corneal nerve injury
Authors: Zhao Xiaowen , Zhang Minghong , Li Fengjiao , Ma Cuiping , Wang Dianqiang , Wang Ye 
Published: March 2023

Abstract
Background
To investigate the role of neutrophils in the regeneration of corneal nerve injury.
Methods
A mouse model of a corneal nerve injury was established, samples from with and without neutrophil closure in corneal scraping were collected for corneal nerve staining, RNA sequencing, and bioinformatics. Differential expression analysis between these two groups was performed for enrichment analysis. The differential genes were then intersected with neutrophil-associated genes, and the obtained intersected genes were subjected to protein-protein interaction (PPI) network construction. The immune infiltration between the two groups was observed as well as the variation of immune cells between the high and low gene expression groups.
Results
Removal of neutrophils delays the regeneration of corneal epithelium and nerves. A total of 546 differential genes and 980 neutrophil-associated genes, with 27 genes common to both were obtained. Molecular complex assay (MCODE) analysis yielded five key genes, ITGB2, MMP9, EGF, SERPINE1, and PLAUR. ITGB2, SERPINE1, and PLAUR demonstrated increased high expression in the neutrophil-confined group and decreased expression of MMP9 and EGF, and the difference was more significant for MMP9 and EGF. The immune infiltration was also observed between the two groups. The infiltration of M0 macrophages activated mast cells, and neutrophils were significantly different between the two groups. The levels of neutrophils were also shown to be lower in the MMP9 and EGF low expression groups and higher in the high expression group.
Conclusion
Neutrophil confinement may significantly affect the expression levels of MMP9 and EGF. Strategies to inhibit MMP9 may have potential therapeutic benefits.
Randomized, open-label phase II study of brigatinib and carboplatin plus pemetrexed and brigatinib alone for chemotherapy-naive patients with ALK-rearranged non-squamous non-small cell lung cancer: Treatment Rationale and Protocol Design of the B-DASH Study (WJOG 14720 L)
Authors: Wakuda Kazushige , Kenmotsu Hirotsugu , Sato Yuki , Nakamura Atsushi , Akamatsu Hiroaki , Tachihara Motoko , Miura Satoru , Yokoyama Toshihide , Mori Keita , Nakagawa Kazuhiko , Yamamoto Nobuyuki 
Published: March 2023

Abstract
Background

The ALTA-1L study compared brigatinib with crizotinib in untreated ALK-rearranged non-small cell lung cancer (NSCLC) patients, demonstrating the efficacy of brigatinib. Although the median progression-free survival (PFS) of brigatinib group was 24.0 months, the one-year PFS rate was 70%. In the NEJ009 study, patients with EGFR mutations showed improved outcomes with gefitinib plus chemotherapy compared with gefitinib monotherapy. To evaluate the efficacy of the combination of brigatinib with chemotherapy for patients with ALK-rearranged NSCLC, we designed B-DASH study (WJOG 14720L).

Methods

B-DASH study is a multicenter, two-arm, phase II study. Eligible patients have untreated stage IV ALK-rearranged nonsquamous NSCLC. Patients will be randomized in a 1:1 ratio to receive brigatinib (180 mg once daily with a 7-day lead-in period at 90 mg) monotherapy or carboplatin (area under the curve = 5 on day 1) plus pemetrexed (500 mg/m2 on day 1) and brigatinib in a 3-week cycle for up to four cycles, followed by pemetrexed and brigatinib as maintenance therapy. The target hazard ratio of 0.62 is set based on the NEJ009 study. With one-sided alpha = 0.20 and power = 0.8, the sample size for the B-DASH study was calculated to be 110, considering the possibility of patients dropping out. The primary endpoint is PFS. The key secondary endpoints are the overall response rate and overall survival. We will evaluate tumor-derived DNA from plasma specimens before treatment, 42 days after administering the study drug, and on the day of progressive disease. Recruitment began in November 2021 and is ongoing.

Discussion

The efficacy of combination therapy with tyrosine kinase inhibitors and cytotoxic chemotherapy was demonstrated in patients with EGFR mutations but remains unclear in patients with ALK-rearranged NSCLC. The B-DASH study is the only trial of brigatinib combined with chemotherapy in patients with untreated ALK-rearranged NSCLC.

Trial registration

jRCT identifier: jRCTs041210103
Database task processing optimization based on Performance evaluation and machine learning algorithm
Authors: Deng Aqin 
Published: March 2023

Abstract
One of the key components of artificial intelligence algorithms is machine learning, involving a variety of fields, and has been applied in many artificial intelligence systems, including computer vision algorithm, radio network algorithm, medical diagnosis algorithm and intelligent robot system algorithm. In the form of machine learning algorithm, the machine learning module of the algorithm is first used to calculate the consumption, the main performance modules are optimized and improved, and the system data under database optimization is obtained, and select the optimized structure of the database for calculation, data analysis for the calculation results. Finally, in the design of the database optimization system, the separation of the database system storage engine is studied, and the database optimization form under the data processing structure is proposed. In terms of performance and functionality and reliability, it helps to solve the loss problem caused by big data processing in transmission. In the research of data intensive downward moving calculation process, the optimized solution of data processing is estimated. The results show that using computer terminal sampling comparison to select the executable data processing scheme. The result of this paper shows it can improve the calculation efficiency of data optimization system query.
Surveillance of multiple congenital anomalies; searching for new associations
Authors: Morris Joan , Bergman Jorieke , Barisic Ingeborg , Wellesley Diana , Tucker David , Limb Elisabeth , Addor Marie-Claude , Cavero-Carbonell Clara , Dias Carlos , Draper Elisabeth , De Garibay Luis Echevarría González , Gatt Miriam , Klungsoyr Kari , Lelong Nathalie , Luyt Karen , Materna-Kiryluk Anna , Nelen Vera , Neville Amanda , PERTHUS Isabelle , Pierini Anna , RANDRIANAIVO Hanitra , Rankin Judith , Rissmann Anke , Rouget Florence , Sayers Geraldine , Wertelecki Wladimir , Kinsner-Ovaskainen Agnieszka , Garne Ester 
Published: March 2023

Abstract
Many human teratogens are associated with a spectrum of congenital anomalies rather than a single defect, and therefore the identification of congenital anomalies occurring together more frequently than expected may improve the detection of teratogens. Thirty-two EUROCAT congenital anomaly registries covering 6,599,765 births provided 123,566 cases with one or more major congenital anomaly (excluding chromosomal and genetic syndromes) for the birth years 2008 to 2016. The EUROCAT multiple congenital anomaly algorithm identified 8,804 cases with two or more major congenital anomalies in different organ systems, that were not recognised as part of a syndrome or sequence. For each pair of anomalies, the odds of a case having both anomalies relative to having only one anomaly was calculated and the p-value estimated using a two-sided Fisher’s exact test. The Benjamini-Hochberg procedure adjusted p-values to control the false discovery rate and pairs of anomalies with adjusted p-values < 0.05 were identified. A total of 1,386 combinations of two anomalies were analysed. Out of the 31 statistically significant positive associations identified, 20 were found to be known associations or sequences already described in the literature and 11 were considered “potential new associations” by the EUROCAT Coding and Classification Committee. After review of the literature and detailed examination of the individual cases with the anomaly pairs, six pairs remained classified as new associations. In summary, systematically searching for congenital anomalies occurring together more frequently than expected using the EUROCAT database is worthwhile and has identified six new associations that merit further investigation.
Hematologic Toxicities and its Determinants among Breast Cancer Patients Treated with Doxorubicin-Cyclophosphamide Followed by Paclitaxel Regimen in Cancer Centers: Retrospective Cohort Study
Authors: Tesfaye Tegenu Chanie , Mekonnen Gashaw Binega , Abebe Rahel Belete , Teferi Ephrame Tafesse , Alemu Belete Kassa , Bizuneh Mekonnen Melkie 
Published: March 2023

Abstract
Background
Clinically, chemotherapy induced neutropenia, febrile neutropenia, thrombocytopenia and anemia were the common toxicities among breast cancer patients treated with doxorubicin-cyclophosphamide followed by paclitaxel regimen. Those toxicities may lead to chemotherapy dose modification, delay and discontinuation that may substantially compromise therapeutic outcomes.
Objective
To assess hematologic toxicities and its determinants among breast cancer patients treated with doxorubicin-cyclophosphamide followed by paclitaxel regimen in cancer centers, Northwest Ethiopia.
Method
Retrospective cohort study design was used to collect data among 422 breast cancer patients from Felege-Hiwot Comprehesnsive and Specialized Hospital and University Of Gondar Comprehensive and Specialized Hospital using a structured data abstraction format by employing systematic random sampling technique. The collected data were entered into EPI-data version 3.1 and analysed using IBM SPSS version 26. Association between dependent and independent variables was determined by using bivariate and multivariate logistic regression analysis where p < 0.05 was considered to be statistically significant.
Results
Among the study participants, more than half (76.1%) and (51.4%) patients had ductal type histology and stage III cancer, respectively, and almost all (98.9%) breast cancer patients performed modified radical mastectomy. Besides, nearly half of patients (46%) had poor ECOG PS. In the current study, the occurrence of neutropenia, anemia, thrombocytopenia and febrile neutropenia were 61.8%, 44.1%, 16.4% and 10%, respectively. Significant association with neutropenia was seen in patients; age ≥ 43years [AOR = 1.68, 95%CI (1.13,2.52)] and rular residency [AOR = 1.76,95%CI (1.16,2.67)]. Whereas stage III and IV cancer [AOR = 2.40,95%CI (1.17,4.94)] was significantly associated with febrile neutropenia. Furthermore, association with anemia was also seen in patients with mixed type histology [AOR = 4.71, 95%CI (1.43,15.53)], lobular type histology [AOR = 0.51,95%CI (0.29,0.87)], stage III and IV cancer [AOR = 1.73,95%CI (1.14,2.63) and disease comorbidity [AOR = 2.11,95%CI (1.04,4.30)]. Likewise, rular residency [AOR = 1.72,95%CI (1.01,2.91)], age ≥ 43years [AOR = 1.75,95%CI (1.02,3.02)] and stage III and IV cancer [AOR = 2.13,95%CI (1.22,3.74) were significantly associated with thrombocytopenia.
Conclusion
The magnitude of hematologic toxicities in patients treated with doxorubicin-cyclophosphamide followed by paclitaxel was high in the study setting. Age, rular residence, stage of cancer, disease comorbidity, mixed and lobular type histology were factors associated with chemotherapy induced hematologic toxicities.
Incorporating winter mixed cover crops into spring maize improves nitrogen-utilization efficiency and environmental benefits on the North China Plain
Authors: Ma Bowen , Lambers Hans , Lakshmanan Prakash , Huang Wenfeng , Liang Zhengyuan , Mudare Shingirai , Ying Jingjing , Cong Wen-Feng 
Published: March 2023

Abstract
Background and aims Understanding the contributions of winter cover crops (CCs) to nitrogen (N) uptake of succeeding spring maize will help achieve more efficient soil N use.
Methods A single-factor field experiment was conducted to quantify residual N effects of contrasting CC tops on spring maize N utilization and environmental benefits. 15N-labeled fertilizers were applied at the time of CC establishment in a microplot experiment to determine the contribution of aboveground residue N of winter cover crops (hairy vetch (HV), February orchid (OV), hairy vetch/ February orchid mixture (HO)) to the following spring maize.
Results Compared with the winter fallow, HV, OV and HO treatments significantly increased the partial factor productivity of N fertilizer by 43%, 16%, and 23%, respectively. The spring maize N derived from the residues was 27 (HV), 6 (OV) and 22 (HO) kg ha−1 and the total contribution to the N uptake of spring maize from the aboveground residues was 2.2~10.3%. Net N surplus was defined as total N input minus N output, and the value of OV (112 kg N ha−1) was significantly lower than that of OV (182 kg N ha−1) and HO (197 kg N ha−1). The HO was the most environmental-friendly cropping system with the lowest carbon footprint, which decreased greenhouse gas (GHG) emissions by 30%.
Conclusions The introduction of winter mixed CCs in the rotation system of three crops across two years on the North China Plain had a higher N-use efficiency, maintained yields with higher net profits, and lowered emissions.
Coordinated and communal hunting behaviours by Erabu sea krait Laticauda semifactiata
Authors: Somaweera Ru , Udyawer Vinay , Amarasinghe Thasun , de Fresnes Joe , Catherall Jay , Molchanova Galina 
Published: March 2023

Abstract
Opportunistic observation of Erabu sea snakes (Laticauda semifaciata) provide evidence that these species undertake a novel foraging tactic; coordinated communal hunting. Erabu sea snakes prey on cryptic fish species in highly complex reef habitats. Intra- and interspecific cooperative hunting strategies may increase chances for all members of the hunting party to encounter and capture prey in these complex habitats. Here we observed 52 instances of communal hunting by Erabu sea snakes with conspecifics and other predatory fishes at recreational dive sites in Southern Lombok, Indonesia. These observations highlight the potential higher cognitive capacity of sea snakes to coordinate activities around communal hunting events.
Statistical Information of Low-Dimensional Processes Hidden in Random State Data
Authors: Tian Yanping , Huang Zhanchao , Li Junyin , Wang Yong , Huang Zhilong , Elishakoff Isaac 
Published: March 2023

Abstract
For stochastically excited dissipative dynamical systems, the low-dimensional slowly varying processes act as the essential and simplified description of the apparent high-dimensional fast-varying processes (i.e., state variables). Deriving the statistical information of low-dimensional processes has a great significance, which inflects almost all the statistical information of concerned. This work is devoted to an equation-free, data-driven method, which starts from random state data, automatically extracts the slowly varying processes and automatically identifies its stationary probability density. The independent slowly varying processes are extracted by combining the identification of Lagrangian and Legendre transformations; the probability density is identified by the assumption of exponential form and the comparison with calculated data at lattices; both steps are implemented in the framework of linear regression. This method is universally valid for general nonlinear systems with arbitrary parameter values; for systems with heavy damping and/or strong excitations, it provides sparse results with high precision, while the results from stochastic averaging are incorrect even in function property.
SupportPrim – A computerized clinical decision support system for stratified care for patients with musculoskeletal pain complaints in general practice – Study Protocol for a randomized controlled trial
Authors: Lervik Lars Christian Naterstad , Vasseljen Ottar , Austad Bjarne , Bach Kerstin , Bones Anita Formo , Granviken Fredrik , Hill Jonathan C. , Jørgensen Pål , Øien Torbjørn , Veites Paola Marin , Windt Danielle A. Van der , Meisingset Ingebrigt 
Published: March 2023

AbstractBackground: Musculoskeletal disorders represented 149 million years lived with disability world-wide in 2019 and are the main cause of years lived with disability worldwide. Current treatment recommendations are based on “one-size fits all” principle, which does not take into account the large degree of biopsychosocial heterogeneity in this group of patients. To compensate for this, we developed a stratified care computerized clinical decision support system for general practice based on patient biopsychosocial phenotypes, further, we added personalized treatment recommendations based on specific patient factors to the system. In this study protocol we describe the randomized controlled trial for evaluating the effectiveness of computerized clinical decision support system for stratified care for patients with common musculoskeletal pain complaints in general practice. The aim of this study is to test the effect of a computerized clinical decision support system for stratified care in general practice on subjective patient outcome variables compared to current care.Methods: We will perform a cluster-randomized controlled trial with 44 general practitioners including 748 patients seeking their general practitioner due to pain in the neck, back, shoulder, hip, knee or multisite. The intervention group will use the computerized clinical decision support system while the control group will provide current care for their patients. The primary outcomes assessed at 3 months are global perceived effect and clinically important improvement in function measured by the Patient Specific Function Scale (PSFS), while secondary outcomes include change in pain intensity measured by the Numeric Rating Scale (0-10), health related quality of life (EQ-5D), general musculoskeletal health (MSK-HQ), number of treatments, use of painkillers, sick-leave grading and duration, referral to secondary care and use of imaging.Discussion: The use of biopsychosocial profile to stratify patients and implement it in a computerized clinical decision support system for general practitioners is a novel method of providing decision support for this patient group. The study aim to recruit patients from may 2022 to march 2023, and the first results from the study will be available late 2023.Trial registration: The trial is registered in ISRCTN: 14067965