bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rigless Plug and Abandonment: A Case Study of Temporary Abandonment Optimization for Slot Re-Entry Preparation in Mahakam Swamp Area
Authors: Pancawisna Gerardus Putra , Khairunnisa Khairunnisa , Suprapto Edy , Hutapea Tioma , Widhiyantoro Anung , Lie Susanto , Sumarhadi Wisnu , Ferdiansyah Mohamad Iqbal , Armain Armain , Andini Amanah Suci , Safitra Adika Fawaz 
Published: October 2022

Abstract
This paper is aimed to present the engineering design and execution of temporary abandonment operation for slot re-entry preparation in Mahakam swamp area. The case study shall cover the design and execution of temporary abandonment campaign in Tambora field of Mahakam swamp area with water depth ranging between three (3) meters to six (6) meters. This rigless operation for slot re-entry and side-track preparation includes permanent plugging, tubing cut, tubing retrieval, casing retrieval, casing scrapper run and cement plug.
The design goes through the engineering calculation of axial load capacity of conductor pipe to support HWU operation, potential barite sagging due to solid content of oil based mud (OBM) in the annulus and the estimated free casing. Moreover, detailed planning is also crucial to improve the optimization with the utilization of wireline on smaller marine vessel such as landing craft tanks (LCT) or self-propelled boat and execute the slickline as well as electricline steps in the temporary abandonment sequence before big marine vessel with HWU comes.
As a result, the campaign managed to prepare four (4) wells in Tambora field of Mahakam swamp area for slot re-entry and sidetrack in seven (7) weeks which included 9-5/8" casing retrieval in one (1) well. The direct cost optimization was up to 75% from the utilization of well intervention units instead of swamp rig in the process. In addition, this operation allowed to troubleshoot and identify possible operational problems including integrity issue prior to the drilling operation such as wellbore clean out, casing free point identification, cement and annulus integrity.
Optimization is mandatory in matured field and drilling operation provides direct impact to the optimization. In addition, operation in swamp area is uniquely novel where it provides different kind of challenges in terms of engineering and operation particularly in rigless operation.
Application of High-Definition Reservoir Scale Mapping-While-Drilling with Comprehensive Formation Evaluation in the Challenging Low Resistivity Contrast Environment
Authors: Wahid Ali Nurul Athirah , Alang Khairul Anuar , Wang Haifeng , Goh Jin Wang Arthur , Chuah Mei Mei Stefanie , Sapian Nik Fazril Ain , Bt M Zaid Siti Nurfarhana , Rafiuddin Nur Liyana , AL Naupa Nagarajan , A Aziz Khairul Ikram 
Published: October 2022

Abstract
The horizontal wells within the context of this case study are located offshore Malaysia, where the reservoirs vary in grain size and quality. The infill wells include 3 oil producer wells targeting S reservoir and 1 horizontal sidetrack well targeting R1-R3 subunit reservoirs. The horizontal wells’ objective is to optimize minimum lateral length of 1,000-2,000ft MD at 1/3 vertical standoff from GOC within the target oil column. Based on recent data from offset wells, the fluid contacts (GOC and OWC) remained uncertain, hence well placement within the target oil column becomes the main challenge. The wells are expected to have low resistivity contrast between oil and water composition. In this kind of reservoir environment, the standard reservoir mapping tool may not be sufficient for differentiating reservoir fluid properties of oil and water bearing formation.
For such challenging condition, an integrated real-time well placement technology, high tier triple-combo logs, Neutron Near- Far count and Formation Sigma measurements were deployed to fully achieve drilling objectives. 3 horizontal wells with 1 horizontal sidetrack well were successfully executed within the target zone, achieving objectives beyond expectation. A new generation of LWD tool including high-definition reservoir mapping-while-drilling technology with advanced inversion was deployed to fulfill geosteering requirements. The workflow presented in this project is a synergized scope of multi-domain, from both drilling and subsurface.
This case study demonstrated the value of high-definition reservoir scale mapping technology. It provides an innovative and deterministic method to identify low resistivity low contrast boundaries of oil from transitional water zone which was difficult to be achieved by conventional reservoir mapping tool. At the landing section, the high-definition tool helped to reveal clearly OWC below the tool with greater confidence compared to the standard tool. The information from the high-definition tool, paired with the fluid identification offered from Neutron-Density and Neutron Near- Far count together were essential for an accurate landing. The usage of reservoir scale mapping technology in the horizontal section revealed the tilted OWC and reservoir structure at the same time, which allowed the team to achieve the required minimum production length while maintaining required standoff from the OWC. All wells were geosteered successfully with the accomplishment of placing the trajectories in optimum positions despite having a tight TVD window.
An EO based Parameter Independent Fuzzy kNN Classifier for Classification of Medical datasets
Authors: Vommi Amukta Malyada , Battula Tirumala Krishna 
Published: October 2022

Abstract

The kNN classifier is the most popular, supervised machine-learning technique but the main disadvantage of this algorithm is that it has very restricted access to the class distributions in a training point set and treats all the instances equally. In kNN classification, fuzzy sets are used to obtain the membership degrees of each point to the classes known as fuzzy kNN (FkNN) classification. Although FkNN classifier enhances the performance of the kNN, it doesnot consider the effect of noisy and redundant instances which makes it ineffective. Moreover, the performance of kNN is dependent on the value of k (number of nearest neighbours) .Considering these issues, we present a novel algorithm which simultaneously tunes the class dependent feature weights along-with k value using an effective meta-heuristic algorithm, Enhanced Equilibrium Optimization technique. A number of experiments have been conducted on different biomedical datasets and the proposed approach has outperformed the other standard classifiers in terms of accuracy.
Efficacy of bladder training in the overactive bladder symptoms improvement: systematic review protocol
Authors: Rocha Anna Karoline Lopes , Monteiro Silvia Elizate , Volpato Maria Palharini , Verleun Dinah , Valim Lilian , Riccetto Cassio , Botelho Simone 
Published: October 2022

Abstract
Background
The International Continence Society recommends that first-line treatment of overactive bladder syndrome symptoms and urgency urinary incontinence is performed by conservative interventions. Bladder training is considered one of the types of behavioral intervention, which is characterized by health education associated with scheduled voiding regimen with gradually adjusted voiding intervals. The aim of this study will be to investigate and update whether bladder training can promote improvement of symptoms of individuals with overactive bladder with or without urgency urinary incontinence.
Methods
A bibliographic search will be conducted in eight databases, no data or language restrictions: PubMed, PEDro, SciELO, LILACS, Cochrane Library, Web of Science, EMBASE, CINAHL, by handing searching. A combination of search terms including ‘bladder training’, 'overactive bladder', ‘urinary incontinence’ and 'urinary urgency incontinence' with common Boolean operators will be used. Specific search terms will be combined with either MeSH and search descriptors terms and appropriate permutations for each database. Search findings will be imported into the Reference Management Software (Mendeley 2.67.0) then uploaded where two reviewers will screen the titles, abstracts and retrieved full text. In case of conflicts and moderate consensus discussions, a third reviewer will be available. The Mixed Methods Appraisal Tool (MMAT) will be used to appraise the quality of mixed studies (quantitative and qualitative) by limiting them to criteria. The primary outcome will be the improvement of OAB symptoms and the secondary outcomes will be the quality of life, functional assessment and adverse events, which can be assessed by questionnaires and measurement instruments. Meta-analysis, if plausible, will be performed by the software Review Manager 5.4. Cochrane RoB 2 assesses the risk of bias for randomized trials and quality of evidence will be assessed by GRADE.
Discussion
This study is a review of randomized controlled studies to analyze the efficacy of bladder training improving overactive bladder syndrome symptoms. The study design of randomized controlled trials for a higher level of scientific evidence was chosen. The aim is to obtain results that allow further studies and evidence that this intervention generates beneficial effects in the sample studied.
Systematic review registration: PROSPERO CRD42022301522.
Light-driven C-H bond activation mediated by 2D transition metal dichalcogenides
Authors: Li Jingang , Li Hao , Zhu Haoyue , Zhang Tianyi , Gu Yuqian , Wu Zilong , Huang Suichu , Akinwande Deji , Terrones Mauricio , Redwing Joan , Zheng Yuebing 
Published: October 2022

Abstract
C-H bond activation enables the facile synthesis of new chemicals. While C-H activation in short-chain alkanes has been widely investigated, it remains largely unexplored for long-chain organic molecules. Here, we report light-driven C-H activation in complex organic materials mediated by 2D transition metal dichalcogenides (TMDCs) and the resultant solid-state synthesis of luminescent carbon dots in a spatially resolved fashion. Through the first-principle calculations, we unravel that the defects and oxidized states in 2D TMDCs lead to efficient C-H activation and chemical reaction. Furthermore, we exploit the light-controlled “point-and-shoot” chemical reaction for versatile carbon dot patterning and optical encoding of encrypted information. Our results will shed light on 2D materials for C-H activation in a variety of organic compounds for applications in organic chemistry, photonic materials, and environmental remediation.
The prevalence of contraceptive use among postpartum women during the early phase of COVID-19 outbreak: A cross sectional study
Authors: Sathitloetsakun Sarochinee , Puangsricharoen Pimpitcha , Phutrakool Phanupong , Maitreechit Duangporn , Santibenchakul Somsook , Jaisamrarn Unnop 
Published: October 2022

Abstract
We investigated the prevalence of postpartum contraceptives during the COVID-19 outbreak and identify factors associated with contraceptive initiation. We reviewed the electronic medical records of 4506 postpartum women who delivered at King Chulalongkorn Memorial Hospital (KCMH) during the early phase of COVID-19 in Thailand and the historical cohort period. A total of 3765 women (83.6%), of which 1821 delivered during the pandemic and 1944 during the historical cohort period, were included in this study. The proportion of women who initiated modern contraceptives at six-week postpartum was comparable between the COVID-19 (73.4%) and historical cohort (75.3%) (p = 0.27) periods. The proportion of women who initiated highly effective contraception tended to be higher during the historical cohort period (22.5%) than during the COVID-19 period (19.7%) (p = 0.05). Accessing a six-week postpartum check-up was independently associated with highly effective contraceptive initiation, of which the adjusted odds ratio (OR) (95% confidence interval) was 3.01 (2.26 to 4.02). The findings highlight that the pandemic worsened the healthcare system by limiting access to postpartum check-ups, which contributed to fewer opportunities to initiate highly effective contraception.
Age has a U-shaped Relationship with Breast Cancer Outcomes in Women
Authors: Xie Yujie , Wei Suosu , Huang Zhen , Huang Kai , Wei Chunyu , Xu Jinan , Dong Lingguang , Zou Quanqing , Yang Jianrong 
Published: October 2022

Abstract
Background and Objectives
There is insufficient information available on how breast cancer prognosis is affected by age at diagnosis. Our study aimed to examine the association between age at diagnosis and overall survival (OS), breast cancer-specific survival (BCSS) and disease-free survival (DFS) rates.
Methods
1054 breast cancer patients were obtained in our retrospective cohort study from March 7, 2013 to December 31, 2019. Patients were dividedinto four groups based on their age. Different age groups were described using the Kaplan-Meier method for OS, BCSS and DFS survival rates. A model of Cox proportional hazards ratio (HR) with restricted cubic splines (RCS) and smooth curve fitting were usedto estimate 95% confidence interval (CI) and hazard ratios (HRs) of OS, BCSS and DFS rates.
Results
71 patients (6.74%) died and 144 patients (13.66%) recurred during a median follow-up of 4.86 years. Quarter 2 showed the best OS, BCSS, and DFS rates in the Kaplan-Meier survival analysis. The outcomes of RCS analysis indicated that there was a U-shaped relationship between the age and OS, BCSS and DFS rates despite after adjustment for other confounding factors, the inflection points of OS, BCSS and DFS rates were 44years, 37years and 41years.
Conclusions
In Asian women, there is a U-shaped association between age at diagnosis and breast cancer outcomes.
Prediction of non union in diaphysis of long bones in adults
Authors: Gupta Anupam 
Published: October 2022

Abstract
Purpose
The study was conducted to analyze the feasibility of Rust and Modified Rust score to predict non union in adult long bones.
Methods
Literature was searched using Pubmed and articles pertaining to prediction of long bones studied. In this study randomized patients were prospectively analyzed and selected for radiographic RUST and Modified Rust scores, after internal fixation of fractures of tibia, humerus and femur.
Results
64 patients were analyzed out of which 16 cases were lost in follow up. Out of 48 patients,we predicted 6 non union cases out of which 2 patients underwent dynamization and 1 pat injPRP. The remaining 3 developed non union. Rust score and Modified Rust scores are good tools for prediction on nonunion in adult long bones.
Conclusion
Our rate of non union was 6.25% which is within the nonunion rate published in the literature.
Flavonoid compound from Agrimonia Pilosa Ledeb improves adipose insulin resistance by alleviating oxidative stress and inflammation
Authors: Guo Tingwang , Pan Yun , Yang Lin , Chen Gang , Deng Jia , Zhu Liancai 
Published: October 2022

Abstract
Background
Researches and practice of Chinese medicine indicated that Agrimonia Pilosa Ledeb could improve insulin resistance (IR) and treat type 2 diabetes (T2DM). Flavonoid component (FC) was collected from Agrimonia Pilosa Ledeb. The aim of this study was to elucidate the effects of FC on glucose metabolism to improve IR by suppressing oxidative stress and inflammation.
Methods
By overdosed glucose and insulin or high-fat diet to establish adipocytes or mice IR model. The uptake of 2-NBDG and glucose consumption were measured to verify insulin sensitivity in vitro and vivo. Reactive oxidative species (ROS) were detected by flow cytometry, activity of superoxide dismutase (SOD) and content of malondialdehyde (MDA) were also measured. Meanwhile, factors related to insulin signal pathway such as PPARγ, insulin receptor substrate-1 (IRS-1) and GLUT4, factors related to oxidative stress such as NF-E2-related factor 2 (Nrf2), and expression and secretion of inflammatory cytokines such as NF-κB, IL-1β, IL-6 and TNF-α were tested. Furthermore, the JNK/PI3K/Akt signal pathway were also explored.
Results
FC ameliorated the impaired glucose metabolism significantly. Further study indicated that FC could promote the expression related to insulin signal pathway to improve insulin resistance. What’s more, it could not only upregulated PPARγ with the similar efficacy as pioglitazone (Piog) straightway. But FC also decreased the endogenous ROS, lowered the content of MDA, increased the activity of SOD and expression of Nrf2 to facilitate oxidative homeostasis. It also attenuated expression and secretion of inflammatory cytokines obviously. At last, the underling mechanism JNK/PI3K/Akt pathway was improved in adipocytes and adipose tissue.
Conclusion
FC could ameliorate glucose metabolism and improve IR. It exerted these effects by suppressing oxidative stress and inflammation. FC from Agrimonia Pilosa Ledeb has a good prospect to be drugs or functional foods for IR and T2DM.
Synthesis, Antimicrobial Evaluation, and Docking Studies of Substituted New Chromone linked 1,2,3-Triazoles
Authors: Nipate Amol S. , Jadhav Chetan K. , Chate Asha V. , Dofe Vidya S. , Dixit Prashant P. , Sharma Prachi , Gill Charansingh. H. 
Published: October 2022

Abstract

In Search of new antibacterial, antifungal agents with improved potency, herein we report the synthesis of a series of new substituted 2-(4-fluorophenyl)-3-((1-phenyl-1H-1,2,3-triazol-4-yl)methoxy)-4H-chromen-4-one derivatives (6a‐q), starting from acetophenone. All the Synthesized compounds have been screened for in vitro antibacterial and antifungal activity by using the agar well diffusion method. Among fifteen synthesized compounds, four chromone derivatives i. e. (6a-b), (6h), and (6i) have shown proficient antimicrobial activities. Compound (6a) showed powerful inhibitory activity against all bacterial pathogens but it was not that effective against fungal pathogens on the other hand compound (6b) showed satisfactory activity against fungal pathogens as well. The activity of compounds (6h) and (6i) against S. aureus was remarkable. Other compounds were found active against a few pathogens but activity was good. The compound (6b) was found very effective in inhibiting the growth of S. aureus ATCC 6538 at a low concentration with MIC 190 µg/ml.
Association between nociplastic pain and premature endocrine therapy discontinuation in breast cancer patients
Authors: Joyce Elizabeth , Carr Grant , Wang Sidi , Brummett Chad M. , Kidwell Kelley M. , Henry N. Lynn 
Published: October 2022

Abstract
Purpose
At least five years of adjuvant endocrine therapy (ET) is recommended for patients with hormone receptor-positive invasive breast cancer to reduce cancer recurrence risk. Up to half of patients prematurely discontinue ET, often due to musculoskeletal pain. Nociplastic pain is abnormal central nervous system pain processing without evidence of tissue or neuronal damage. This study aimed to evaluate the relationship between baseline nociplastic pain and ET discontinuation.
Methods
This was a retrospective, single center, cohort study. Included patients were female, had stage 0-III invasive breast cancer, did not receive neoadjuvant therapy, and completed quality of life questionnaires prior to breast surgery, including Fibromyalgia Survey for nociplastic pain. Clinical data including duration of ET were abstracted from the medical record. Patient characteristics were analyzed with t-tests and chi-squared tests, as appropriate. Univariate and multivariable regressions were performed with Cox proportional hazard models.
Results
681 patients diagnosed between 2012–2019 met inclusion criteria; 480 initiated ET and were included in the analysis. Of these 480 patients, 203 (42.3%) prematurely discontinued initial ET therapy. On univariate analysis, tamoxifen use (hazard ratio [HR] 0.70, p = 0.021) and premenopausal status (HR 0.73, p = 0.04) were inversely associated with ET discontinuation, while Fibromyalgia Score was positively associated (HR 1.04, p = 0.043). On multivariable analysis, baseline Fibromyalgia Score remained associated with ET discontinuation.
Conclusion
Nociplastic pain present prior to surgery was associated with premature ET discontinuation. Fibromyalgia Score screening may be useful for evaluating ET discontinuation risk. Treatments targeting nociplastic pain may be more effective for treating ET-emergent pain.
Safety and Feasibility of Anti-CD19 CAR T Cells Expressing Inducible IL-7 and CCL19 in Patients with Relapsed or Refractory Large B-cell Lymphoma
Authors: Qian Wenbin , Gao Jimin , Zhang Jinyi , Lei Wen , Zhao Ai , Liu Hui , Yang Chunmei , Wei Cheng , Guo Shanshan , Chen Zhilu , Guo Qunyi , Li Linjie , Zhao Mingzhe , Wu Gongqiang 
Published: October 2022

Abstract
Chimeric antigen receptor (CAR) T cell therapy provides a potentially curative option for patients with relapsed or refractory large B-cell lymphoma (R/R LBCL). However, there are major limitations of this therapy which result in treatment resistance in B-cell malignancies, including the inadequate CAR T cell trafficking and tumor infiltration, frequent tumor antigen escape and poor CAR T cell persistence. Here we report the development of the CD19-specific CAR T cells capable of expressing interleukin (IL)-7 and chemokine (C-C motif) ligand (CCL)-19 upon CD19 engagement (referred to as 7 × 19 CAR T cells), the preclinical study and multicenter phase 1b clinical trial of 7 × 19 CAR T cell therapy in patients with R/R LBCL (NCT03258047). The clinical trial of 7 × 19 CAR T cells showed a favorable safety profile in a cohort of R/R LBCL patients (n = 39), with grade 3 cytokine release syndrome occurred in 5 (12.8%) patients and grade 3 or higher neurotoxicity in 4 (10.3%) patients. The overall response rate at 3 months post-single infusion was 79.5% (complete remission, 56.4%; partial response, 23.1%). With a median follow-up of 32 months, the median progression-free survival was 13 months, and the median overall survival was not reached, with an estimated rate of 53.8% (95% CI, 40.3–72.0%) at two years. Together, these long-term follow-up data from the multicenter clinical study suggest that 7 × 19 CAR T cells can induce durable responses with a median overall survival of greater than 2 years, and have a manageable safety profile in patients with R/R LBCL.
SSELM-neg: Spherical search-based extreme learning machine for drug-target interaction prediction
Authors: Hu Lingzhi , Fu Chengzhou , Ren Zhonglu , Cai Yongming , Yang Jin , Xu Siwen , Xu Wenhua , Tang Deyu 
Published: October 2022

Abstract
Background: Experimental verification of a drug discovery process is expensive and time-consuming. Therefore, efficiently and effectively identify drug–target interactions (DTIs) has been research focus. In present, many machine learning algorithms are used for predicting drug-target interactions. The key idea is to train the classifier using existing DTI so as to predict new or unknown DTI. However, there are various challenges such as class imbalance and parameter optimization of many classifiers that need to be solved before developing an optimal drug-target interaction model.
Methods: In this paper, we propose a framework named SSELM-neg for drug-target interaction prediction, in which a screening approach was used to choose high quality negative samples and a spherical search approach is used to optimize the parameters of the extreme learning machine.
Results: Results show that the performance of the proposed technique outperforms the other state-of-the-art methods in 10-fold cross-validation experiments in terms of AUC(0.986, 0.993, 0.988, 0.969 ) and AUPR(0.982, 0.991, 0.982, 0.946) for E dataset, GPCR dataset, IC dataset and NR dataset.
Conclusion: Screening approach produce the high quality negative samples with the same numbers of the positive samples, which solve the class imbalance problem. Extreme learning machine was optimized by a spherical search approach in identifying DTIs. Therefore, our models achieve better performance than other state-of-the-art methods.