bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tight Gas Production Prediction in the Southern Montney Play Using Machine Learning Approaches
Authors: Hui Gang , Yao Fuyu , Pi Zhiyang , Bao Penghu , Wang Wei , Wang Muming , Wang Hai , Gu Fei 
Published: March 2024

Abstract
Recently, the machine learning approach has been used to forecast tight gas production from unconventional resources. However, the performance of machine learning-based predictive models has not been successful with respect to actual field production. The poor performance has been ascribed to several factors, including the relatively few field data and few input data from geological, geomechanical, and operational information. This study uses big data analytics to develop a prediction model for Southern Montney Play in the province of British Columbia, Canada. First, a complete dataset is built, including ten geological, geomechanical, and operational characteristics for 3146 horizontal wells in Southern Montney Play. Then, the relationships between the first-year production and input parameters are evaluated, and controlling factors are identified. Finally, a comparative study of prediction models with distinctive training algorithms is conducted to find the best algorithm for predicting first-year production. The results reveal that the top features that contribute most to tight gas productivity are total injection volume, porosity, and formation pressure. Features with secondary effects are net thickness, fracturing depth, and number of stages. The other features, including permeability, gas saturation, horizontal length, and cumulative proppant injection, are the least related. The Random Forest algorithm with the highest correlation coefficient (R2=0.82) and lowest mean absolute error (MSE=0.15) is picked. The Random Forest-based production prediction matches the observed field production, indicating that the northeastern portion of the study area has the highest estimated tight gas productivity. This procedure can be applied to additional scenarios involving tight gas production and used to guide the future site selection and fracturing job size, thereby achieving effective tight gas development.
Creating a Multiphase Production Model Tailored to Deviated Oil-Producing Wells for Integration as Input into a Machine Learning Model for ESP Survival Analysis
Authors: Sindi Wisam , Fruhwirth Rudolf , Gamsjäger Ernst , Hofstätter Herbert 
Published: March 2024

AbstractA comprehensive model estimates wellbore production variables, including flow velocities, phase fractions/holdups, fluid properties, pressure/temperature profiles, and Electrical Submersible Pump (ESP) performance metrics. Coupled with instrument data, these inputs support productivity surveillance and ESP status prediction driven by machine learning (ML). The wellbore production model's effectiveness is evaluated by comparing it with industry-sourced field data encompassing muti-probe production logging tool (PLT) measurements from multiphase producing wells.This work is based on Nodal Analysis, which involves dividing the wellbore into numerous sections and applying the conservation of mass, momentum, and energy principles to model pressure, temperature, and other essential profiles. Three multiphase flow methods are employed: homogeneous flow, separated flow with slip (Hagedorn-Brown method), and separated flow with slip and flow pattern (Mukherjee-Brill method). Affinity Laws are used to describe the ESP performance. A machine learning model is trained using manually labelled historical data subsets comprising model results and actual field measurements. Its purpose is to recognize ESP operational statuses such as pump off, normal operation, electrical wear, and mechanical wear. Supervised feature selection methods are utilized to identify the most relevant parameters.The along the wellbore measurements from PLT e.g. the phase holdup (also referred to as in-situ volume fraction) is in agreement with the modelling results. For a wide range of liquid rates and gas-liquid ratios, flow rates can be determined with an average deviation of less than 10%. Machine learning feature selection methods, such as sequential backward elimination, reveal that production modelling results are crucial for identifying ESP statuses, including mass rate, viscosity, and pump parameters like efficiency. This study demonstrates that hydrodynamic modelling results provide additional information for ML training that electro-mechanical raw data may lack. Thanks to the integration of hydrodynamic modelling and raw data supplied to the ML algorithm, it can classify operational statuses with 99% accuracy and predict ESP failure months in advance.When the model is connected to standard wellbore instrumentation, it enables near real-time production monitoring and provides essential hydrodynamic input to ML-based algorithms for continuous monitoring ESP equipment. It can be used as a virtual flowmeter (VFM) or a validation tool for multiphase flowmeters (MPFM), enhancing allocation split accuracy and enabling operators to concentrate on true contributors. The methodology can be integrated into a digital oilfield (DOF) system, employed as a digital twin, or, as demonstrated in this study, integrated into asset modelling with ESP survival analysis and failure prediction using ML.
Successful Implementation of A Solids-Free Fluid Loss System Used in Coiled Tubing Operations in Argentina
Authors: Gimenez Leonardo D. , Betti Enzo J. 
Published: March 2024

Abstract
This paper highlights the successful implementation of a solids-free fluid loss system during Coiled Tubing (CT) interventions executed in the Austral Basin. This treatment contains a low-viscosity, solids-free, Relative Permeability Modifier (RPM) for lost circulation control during sand cleanout operations performed in these low-pressure reservoir wells where the Bottom Hole Pressure (BHP) exceeds the reservoir pressure. Avoiding fluid losses reduces the likelihood of getting stuck CT from settling sand or differential sticking.
Significant experience has been acquired in Argentina using this system to avoid fluid loss during interventions, and the correct system formulation has been defined based on field information, lab testing, and experience. This system was applied mainly during CT sand cleanout operations in cased gas wells with sandstone formations and severe fluid losses. Pills of RPM are pumped and forced into the fractured zone without any damage to the formation before carrying out the CT sand cleanout intervention.
RPMs are being formulated and used within the oil industry to help mitigate fluid losses during intervention. The objective is to decrease the relative permeability to water without any (or minimum) modification to the relative permeability to oil. This methodology can be applied in water-wet formations without oil permeability modification, and in the Austral Basin in Argentina, this implementation has demonstrated its benefits during workover interventions. Following RPM treatments, wells were cleaned out without any circulation fluid losses or stuck pipe issues, leading to the successful execution of planned well programs.
The findings of this study can benefit the oil and gas industry by offering a viable and alternative solution for the intervention of depleted gas wells where it is necessary to avoid any fluid losses to the formation during any workover or CT intervention.
Validity and reliability of the Arabic versions of the General Risk Propensity Scale (GRiPS) and the Risk Proneness Short Scale (R-1)
Authors: Fekih-Romdhane Feten , Malaeb Diana , Sakr Fouad , Dabbous Mariam , Obeid Sahar , Hallit Souheil 
Published: March 2024

Abstract

Background
Until today, only a few studies have been conducted in Arab countries and settings to understand the prevalence and correlates of engaging in domain-specific risky behaviors. However, no or very little research attention has been paid to risk-taking propensity as a predictor of such behaviors. In this study, we propose to validate two short self‐report measures of general risk propensity in Arabic, the General Risk Propensity Scale (GRiPS) and the Risk Proneness Short Scale (R-1)
Methods
An online survey was carried-out in a sample of native Arabic-speaking adults from Lebanon (n = 748, mean age of 34.48 ± 13.25 years, 66.5% females). The forward-backward translation method was adopted.
Results
The original one-factor structure of the GRiPS was replicated in this study, except for two items that were removed (item 4 “I would take a risk even if it meant I might get hurt”, and item 5 “Taking risks is an important part of my life”). Analyses showed that the R-1 loaded on the same factor as the GRiPS, and that its scores correlated positively with GRiPS scores. McDonald’s ω and Cronbach’s α values were very good for both the GRiPS (ω and α values of .89) and the R-1 (ω and α values of .87), indicating internal consistency of the scales. The GRiPS exhibited measurement invariance with respect to gender at the configural, metric, and scalar levels. The R-1 was also found to be gender invariant. Finally, medium-sized positive correlations were found between GRiPS/R-1 scores and the impulsiveness dimensions “sensation seeking” and “urgency”.
Conclusion
The Arabic GRiPS and the R-1 seem to be suitable and applicable as simple, time-efficient and low-cost self-report measures in a wide range of research areas where an individual's general disposition toward risks plays an important role. If conducting the research under no time constraints or limitations, we would recommend using the GRiPS.
Enhancing diagnostic yield of monogenic diabetes through phenotypic and molecular reanalysis of 128 individuals with young onset hyperglycemia: highlighting the significance of accurate case characterization
Authors: Teles Milena , Junior Augusto Santomauro , Costa-Riquetto Aline , Gomes Larissa , De Santana Lucas , Jorge Alexander , Franco Pedro 
Published: March 2024

Abstract
Aim: Our objective is to enhance the molecular diagnostic precision in a cohort of unresolved monogenic diabetes cases, previously investigated by next-generation sequencing target panel (tNGS), through comprehensive bidirectional phenotypic and genotypic reanalysis.
Methods: We analyzed molecular and clinical data from 128 unresolved cases referred between 2011 and 2019. These included 92 cases suspected of maturity-onset diabetes of the young (MODY), 12 of neonatal diabetes, 16 of familial partial lipodystrophy (FPLD), 7 of mitochondrial diabetes, and 1 of Wolfram syndrome. All cases were initially investigated using a tNGS panel comprising 51 nuclear genes and the complete mitochondrial genome.
Results: Our extensive reanalysis process enhanced molecular diagnostic yields from 9 to 26%. Phenotypic reevaluation, entailing in-depth phenotyping, was instrumental in excluding 62 (48.4%) atypical cases. Genotypic reanalysis identified 5 previously overlooked molecular defects: two mutations in regulatory regions (one in the HNF1A promoter and another in the PTF1A enhancer); one in the MTTK mitochondrial gene; one in the MFN2 gene; and one in the GCK gene. Conclusions: Our findings indicate that a combined approach of genotypic and phenotypic reanalysis is an effective strategy for improving molecular diagnostic accuracy in individuals with suspected monogenic diabetes.
Stereotactic radiosurgery (SRS) for patients with brainstem cerebral cavernous malformations (CCMs): An International, Multicentric Study
Authors: Dayawansa Sam , Dumot Chloe , Mantziaris Georgios , Xu Zhiyuan , Pikis Stylianos , Peker Selcuk , Samanci Yavuz , Ardor Gokce D , Nabeel Ahmed M. , Reda Wael A. , Tawadros Sameh R. , Abdelkarim Khaled , El-Shehaby Amr M. N. , Eldin Reem M Emad , Elazzazi Ahmed H , Moreno Nuria Martínez , Álvarez Roberto Martínez , Liscak Roman , May Jaromir , Mathieu David , Tourigny Jean-Nicolas , Tripathi Manjul , Rajput Akshay , Kumar Narendra , Kaur Rupinder , Picozzi Piero , Franzini Andrea , Speckter Herwin , Hernandez Wenceslao , Brito Anderson , Warnick Ronald E. , Alzate Juan , Kondziolka Douglas , Bowden Greg N. , Patel Samir , sheehan jason 
Published: March 2024

Abstract

Introduction: Brainstem cerebral cavernous malformations (CCM) are clinically more aggressive compared to superficial CCMs. Due to their location, resection can be challenging, making stereotactic radiosurgery (SRS) an attractive alternative for symptomatic patient.
Method: Brainstem CCM patients (n=170) were treated with Gamma Knife SRS at 11 radiosurgical centers. Hemorrhagic risk reduction, risk factors of post-SRS hemorrhage, and clinical outcomes were retrospectively analyzed.
Results: Most patients had a single (165/170 patients) brainstem CCMs treated; the majority of CCMs (165/181) presented with bleeding. Single-session SRS decreased the risk of repeat hemorrhage in patients with hemorrhagic brainstem CCM (HR: 0.17, p<0.001) using recurrent multivariate analysis. The annual hemorrhage rate decreased from 14.8 per 100 CCM-years before SRS to 2.3 after treatment. Using univariate Cox-analysis, the probability of a new hemorrhages after SRS was reduced for patient older than 35 years (HR= 0.21, p=0.002) and increased with a margin dose >13Gy (HR= 2.57, p=0.044). Adverse radiation effect (ARE) occurred in 9 patients (5.3%) and was symptomatic in four (2.4%). At a median follow-up of 3.4 years (Inter-quartile range: 5.4), 13 patients (8.0%) had a worsened clinical status, with the treated CCM being the cause in 5.6% (10) of the patients.
Conclusion: Single-session SRS decreased the risk of repeat hemorrhage in patients with hemorrhagic brainstem CCM and conveyed this benefit with a low risk of advrse radiation effects (ARE) and worsening clinical status.
Clinical significance of metastasectomy and pathological response to pembrolizumab in mismatch repair-deficient metastatic colorectal cancer: A retrospective multi-institutional study
Authors: Shimada Yoshifumi , Nakano Mae , Matsumoto Akio , Ozeki Hikaru , Abe Kaoru , Tajima Yosuke , Yamai Daisuke , Nogami Hitoshi , Nakano Masato , Tani Tatsuo , Kawahara Mikako , Nishimura Atsushi , Kobayashi Yuka , Bamba Yuta , Suzuki Susumu , Oyanagi Hidehito , Ohashi Taku , Kameyama Hitoshi , Iwaya Akira , Ichikawa Hiroshi , Sakata Jun , Wakai Toshifumi 
Published: March 2024

Abstract
Background: Metastasectomy is an important treatment to improve survival outcomes in metastatic colorectal cancer (mCRC). However, the evidence regarding the significance of metastasectomy in selected patients with tumors deficient in mismatch repair (dMMR) has been lacking. We aimed to describe the significance of metastasectomy in patients with dMMR mCRC, and the pathological complete response (pCR) rate of patients who underwent metastasectomy after pembrolizumab treatment.
Methods: This retrospective analysis included 42 patients with dMMR mCRC treated at Niigata University Medical and Dental Hospitaland its affiliated hospitals. Clinicopathological characteristics, including metastasectomy, were analyzed to evaluate overall survival (OS). Moreover, pCR rate after pembrolizumab treatment was evaluated in patients who underwent metastasectomy.
Results: The sites of metastases were lymph node in 17, peritoneum in 16, and liver in seven patients. Metastasectomy was performed in 18 (43%) of the 42 patients. The five-year OS for patients who underwent metastasectomy was 100%, and metastasectomy was an independent prognostic factor for OS (P = 0.009). Three patients underwent metastasectomy with curative intent after pembrolizumab treatment, and pCR was achieved in all three patients (100%).
Conclusions: For this small retrospective study, the data suggest that metastasectomy is an important treatment for patients with dMMR mCRC, and patients treated with pembrolizumab show an excellent pCR rate.
GCC2 promotes non-small cell lung cancer growth by maintaining Golgi apparatus integrity and stimulating EGFR signaling pathways
Authors: Hong Sunghoi , Kim Min Sang , Jeong Hyesun , Choi Byeong Hyeon , Park Jiho , Shin Gun Seop , Jung Jik-Han , Shin Hyunku , Kang Ka-Won , Jeon Ok Hwa , Yu Jewon , Park Ji-Ho , Park Yong , Choi Yeonho , Kim Hyun Koo 
Published: March 2024

Abstract

Fundamental changes in intracellular processes, such as overactive growth signaling pathways, are common in carcinomas and are targets of many cancer therapeutics. GRIP and coiled-coil containing 2 (GCC2) is a trans-Golgi network (TGN) golgin maintaining Golgi apparatus structure and regulating vesicle transport. Here, we found an aberrant overexpression of GCC2 in non-small cell lung cancer (NSCLC) and conducted shRNA-mediated gene knockdown to investigate the role of GCC2 in NSCLC progression. shRNA-mediated GCC2 knockdown suppressed NSCLC cell growth, migration, stemness, and epithelial-mesenchymal transition (EMT) in vitro and tumor growth in vivo. In addition, GCC2 knockdown suppressed cancer cell exosome secretion and the oncogenic capacity of cancer cell-derived exosomes. Mechanistically, GCC2 inhibition decreased epidermal growth factor receptor (EGFR) expression and downstream growth and proliferation signaling. Furthermore, GCC2 inhibition compromised Golgi structural integrity in cancer cells, indicating a functional role of GCC2 in regulating intracellular trafficking and signaling to promote lung cancer progression. Together, these findings suggest GCC2 as a potential therapeutic target for the treatment of NSCLC.
Plug-and-Play Engineering of Modular Polyketide Synthases
Authors: Zhang Lihan , Huang Zilei , Xie Shengling , Liu Runzhou , Xiang Changjun , Yao Shunyu 
Published: March 2024

Abstract
Modular polyketide synthases (PKSs) are multidomain, assembly line enzymes that biosynthesize complex antibiotics such as erythromycin and rapamycin. The modular characteristic of PKSs has made them an ideal platform for custom production of designer polyketides by combinatorial biosynthesis. However, engineered hybrid PKS pathways often exhibit significant loss of enzyme activity, and a general principle for PKS reprogramming has not been established. Here we present a strategy for designing hybrid PKSs that is applicable to diverse PKSs. We reveal that two conserved motifs, located at the post-acyltransferase linker and near the acyl carrier protein, are robust cut sites for constructing functional hybrid PKS pathways. Through mixing various PKS pathways at these cut sites, we demonstrate custom production of polyketides with different starter units, extender units, and variable reducing states. Furthermore, we expand the applicability of these cut sites to construct hybrid pathways involving cis-AT PKS, trans-AT PKS, and even nonribosomal peptide synthetase, illustrating the generality of our strategy for the engineering of assembly line enzymes. Collectively, our findings enable plug-and-play reprogramming of modular PKSs and facilitate the synthetic biology application of assembly line enzymes towards bioproduction of designer molecules.
Preparation, Inspection, and Optimization of Rotary Friction Welding Parameters for 2017aa Aluminum Alloy Specimens.
Authors: Nateche Tahar , Chakroune Nabil , Amara Mouna , Boudaa Habib , Ayad Ibrahim , Mekhfi Souad , Suleiman Rami K. , Lamsafda Sidammar , meliani mohammed hadj , Pluvinage Guy 
Published: March 2024

Abstract
The qualification of the FSW process in aerospace requires the production of high-quality joints with long tool lifespan. This necessitates fine-tuning process parameters such as tool geometry (shoulder and pin dimensions, threading) and feed and rotation speeds. The experimental part involves characterizing the FSW weld joint through the study of mechanical properties and microstructural changes. The analyses and control observations performed on the obtained weld beads have, on one hand, enabled the correlation of joint quality with operational parameters. To achieve this, a local fabrication procedure aimed at producing defect-free joints was devised. Microstructural analysis revealed that the tool's rotation speed influences recrystallization conditions; the higher the rotation speed, the greater the welding energy and the more pronounced the softening of the material in the Heat Affected Zone (HAZ).
Factors influencing perceptions of processed baby foods and feeding practices among Indian mothers: A qualitative investigation
Authors: Singh Suruchi 
Published: March 2024

Abstract

Objective: To explore how professionally qualified, working Indian mothers conceptualize healthy foods in general, perceive processed infant and baby foods available commercially and what feeding practices they actually follow with their children at home.
Design: Five focus groups with 8-12 participants were conducted around the participants’ conceptualization of healthy food, their perceptions about commercially available processed baby and infant foods and their actual feeding practices that they routinely follow with their children. Discussion transcripts were analyzed using an inductive coding approach.
Setting: India.
Participants: Fifty-one professionally qualified, working women with at least one child under 5 years of age.
Results: Participants agreed that fresh food is healthiest. They also had favorable opinions about processed infant and baby foods with regards to healthfulness, hygiene and safety. Healthy foods were largely conceptualized in relation to nutrient claims, ingredients and discernible outcomes. They use cues, such as health claims, brand, price, package design and others to determine healthfulness of the product. Perception was heavily influenced by these extrinsic cues rather than by participants’ own nutrition knowledge. Despite having the knowledge, most participants admitted to using these foods on account of factors such as their own inability to lactate, social pressure, lack of time, convenience and others.
Conclusions: Most educated and well off people continue to use these products. While they rue the lack of stringent regulatory measures in India, they feel there is an urgent need to address this huge policy gap by way of legislation and regulation.
Comparative Study of 99mTc-3PRGD2 SPECT/CT and 18F-FDG PET/CT in the Diagnosis of Metastatic Lymph Nodes from Esophageal Squamous Cell Carcinoma
Authors: Wang Xiaojin , Liu Guichao , li Zhanyu , Shi Jiyun , Liang Mingzhu , Fu Guining , Lv Liangzhan , Ju Shaolong , Wang Yin , Xu Wenhua , Wang Fan , Cao Qingdong , Shan Hong 
Published: March 2024

Abstract
Objectives
Lymph node (LN) metastasis represents a significant prognostic factor for esophageal squamous cell carcinoma (ESCC), and there is a lack of effective methods to accurately predict metastatic LNs. The present study aimed to compare the performance of 99mTc-3PRGD2 SPECT/CT and 18F-FDG PET/CT for diagnosing metastatic LNs in ESCC.
Methods
Fifteen patients with suspected ESCC were enrolled and underwent 99mTc-3PRGD2 SPECT/CT and 18F-FDG PET/CT examinations preoperatively. High-definition bone carving reconstruction technology (HD-xSPECT Bone) was applied to quantitatively assess the SUVmax of LN in SPECT/CT. A comparison of 99mTc-3PRGD2 SPECT/CT and 18F-FDG PET/CT was performed for the diagnosis of LN metastasis with pathology as the gold standard.
Results
Among the 15 patients, 23 metastatic LNs were predicted by SPECT/CT with SUVmax of 2.71 ± 1.34, of which 15 were pathologically confirmed. Among the 32 metastatic LNs predicted by PET/CT with SUVmax of 4.41 ± 4.02, 17 were pathologically confirmed. The sensitivity, specificity, accuracy, PPV and NPV of SPECT/CT in diagnosing metastatic LNs were 62.50%, 91.21%, 85.22%, 65.22% and 90.22%, and those of PET/CT were 70.83%, 83.52%, 80.87%, 53.13% and 91.57%, respectively. There was no significant difference in sensitivity (p = 0.061) or specificity (p = 0.058) between the two methods. The AUCSPECT/CT was 0.816 and the SUVmax threshold was 2.5.
Conclusion
99mTc-3PRGD2 SPECT/CT is an effective method for quantitatively diagnosing metastatic LNs by HD-xSPECT Bone technology in ESCC, and its diagnostic sensitivity and specificity were not inferior to those of 18F-FDG PET/CT. The SUVmax cut-off value of 2.5 showed the highest agreement with pathology.