bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multidisciplinary Approach Optimizes Characterization, Completion in Shale Play
Authors: Carpenter Chris 
Published: February 2024

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper URTeC 3871303, “Using a Multidisciplinary Approach to Reservoir and Completion Optimization Within the Woodford Shale Play of the Arkoma Basin,” by Stephen C. Zagurski, SPE, and Steve Asbill, SPE, Foundation Energy Management, and Christopher M. Smith, Advanced Hydrocarbon Stratigraphy, et al. The paper has not been peer reviewed.

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Subsurface complexities related to the formation of peripheral foreland basins can have significant effects on unconventional resource development. In the Arkoma Basin of southeast Oklahoma, the onset of thrusting and tectonic loading induced a complex series of dip/slip and strike/slip faults during basin formation. The operator used a series of technologies to increase understanding of the reservoir and its hazards and provide insight into economic implications for future development plans and strategies.

Introduction
The Woodford is primarily a Type II kerogen source rock. The formation typically is classified as either siliceous mudstone or cherty siltstone. Variable thermal maturity across the basin places the Woodford in both the wet-gas and dry-gas phase windows (moving west to east across the basin). Complex faulting regimes within the Arkoma add a layer of complexity to horizontal development of the Woodford.
The operator wanted to increase the understanding of the Woodford and the effects of faulting through the reservoir in a recent development unit in the liquids-rich fairway. The development unit consists of an existing parent well (Well X) and a pair of child wells (Well Y and Well Z).
The background of Unit XYZ begins with the completion of parent Well X 4–6 years before infill development. In this portion of the basin, Well X’s initial production rate and its cumulative production to date rank it in the top 25% of wells. The wellbore is subjected to a pair of faults and was drilled in the upper half of the Woodford. Placement of Well X is substantially further east than most parent wells because it is approximately 1,600 ft from the unit boundary. This limited infill development to two wells instead of three; the Arkoma typically has seen spacing of four, and sometimes five, wells per section. Wells Y and Z were planned and drilled east of Well X with 1,100–1,600 ft of well spacing. Well spacing in the unit was slightly hindered by surface location limitations and limited true vertical depth (TVD) between surface casing and landing point.
Structural complexity within the unit partially impaired infill development of the unit. Specifically, Well Y and its lateral length was shortened. In this portion of the Arkoma, fault-derived water production typically is the highest-weighted variable in a well’s operating expenditure. Thus, the ability to limit excess water production within Unit XYZ and the surrounding acreage is of paramount importance.
Fiber-Optic Strain Measurements Aid Fracture Characterization
Authors: Carpenter Chris 
Published: February 2024

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper URTeC 3864861, “Geomechanics Modeling of Strain-Based Pressure Estimates: Insights From Distributed Fiber-Optic Strain Measurements,” by Wei Ma and Kan Wu, Texas A&M University, and Ge Jin, Colorado School of Mines. The paper has not been peer reviewed.

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The combination of Rayleigh frequency shift distributed strain sensing (RFS-DSS) and pressure-gauge measurements has been reported recently in field applications. The main objective of the study detailed in the complete paper is to investigate the relationship between strain change and pressure change under various fractured reservoir conditions and provide guidelines for better using this novel strain/pressure relationship to estimate conductive fractures and pressure profiles.

Introduction
With a spatial resolution of 20 cm and a sensitivity of less than 1 με, RFS-DSS can measure mechanical strain changes along the fiber with higher accuracy and sensitivity than low-frequency distributed acoustic sensing measurements. The field applications of RFS-DSS have improved the understanding of near-well and far-field fracture characteristics and the relationship between stimulation and production in unconventional reservoirs.
Although some numerical modeling works have been conducted to study the mechanisms of RFS-DSS data sets, the sensitivity, or influencing factors, of the relationship between strain change and pressure change along the fiber are still unclear.
In this work, the authors use a coupled geomechanics and fluid-flow simulator to simulate the strain change and pressure change measured along the producing and monitoring wells during both stable production and shut-in periods.

Methodology
A 3D multilayer reservoir model with dimensions of 300×400×55.82 m was created using Permian Basin data sets. The reservoir was discretized into 553×129×5 gridblocks. To ensure accurate simulation of field RFS-DSS measurements, the mesh was refined around the fracture and wellbore. The fracture width was set to be the same as the RFS-DSS spatial resolution (0.2 m), and the grid size was set to 5 m except for the refined region. As shown in Fig. 1, the reservoir had 11 perforation clusters along the producing well and the monitoring well was 65 m away from the producing well. A fiber cable was installed on both wells to measure the RFS-DSS data set. The producing well was operated for 240 days before being shut in for 4 days, followed by a 1-day reopening and then continued production for 1 year. The pressure decline was 30–40 psi during the 1-day stable production period. Note that the moment after producing 239 days was taken as the reference time to calculate the strain change during the 1-day production (239–240 days) and the moment after 240 days as the reference time to calculate the strain change during the shut-in period (240–244 days).
PAIN2.0: Study protocol for a multicentre randomised controlled trial to evaluate the efficacy of a 10-week outpatient interdisciplinary multimodal pain therapy to manage recurrent pain for patients with risk factors of developing chronic pain in Germany
Authors: Meyer-Moock Sandra , Szczotkowski Daniel , Schouten Leonie , Petzke Frank , Milch Lena , Metz-Oster Beatrice , Zinndorf Louise , Geber Christian , Hoffmann Greta , Preißler Anke , Marschall Ursula , Rottke Felix , Weidner Anja , Möller André , Isenberg Thomas , Lindena Gabriele , Gärtner Anne , Kaiser Ulrike , Kohlmann Thomas 
Published: February 2024

Abstract
Background: Up to 27% of the German population suffers from recurrent or persistent pain (lasting more than three months). Therefore, prevention of chronic pain is one major object of pain management interventions. The aim of this nationwide, multicentre, randomised controlled trial is to evaluate the efficacy of a 10-week ambulatory (outpatient) interdisciplinary multimodal pain therapy (A-IMPT) for patients with recurrent pain and at risk of developing chronic pain. This project was initiated by the German Pain Society (Deutsche Schmerzgesellschaft e.V.) and the public health insurance provider BARMER. It is currently funded by the German Innovation Fund (01NVF20023). The study PAIN2.0 focuses on reducing pain intensity and pain-related disability and investigates whether this intervention can improve physical activity, psychological well-being, and health literacy.
Methods: PAIN2.0 is designed as a multicentre 1:1 randomised controlled trial with two parallel groups (randomisation at the patient level, planned N = 1094, duration of study participation 12 months, implemented by 22 health care facilities nationwide). After 6 months, patients within the control group also receive the intervention. The primary outcomes are pain intensity and pain-related impairment, measured as Characteristic Pain Intensity (PI) and Disability Score (DS) (Von Korff), as well as patient-related satisfaction with the intervention. Secondary outcomes are the number of sick leave days, sickness allowance, treatment costs, psychological distress, health-related quality of life, and catastrophizing. The effects of the intervention will be analysed by a parallel-group comparison between the intervention and control groups. In addition, the long-term effects within the intervention group will be observed and a pre-post comparison of the control group before and after the intervention will be performed.
Discussion: Recurrent or persistent pain is common in the German population and causes high costs for patients and society. The A-IMPT aims to improve pain and pain-related impairments in pain patients at risk of chronification, thereby reducing the risk of developing chronic pain with its high socioeconomic burden. This new therapy could easily be integrated into existing therapy programs if positively evaluated.
Trial registration: The trial PAIN2.0 has been registered in the German Clinical Trials Register (DRKS) since 21/11/2022 with the ID DRKS00030773 [https://drks.de/search/de/trial/DRKS00030773].
Sequence-Based Drug Design Using Transformers
Authors: Vendruscolo Michele , Zhang Shengyu , Huo Donghui , Horne Robert , Qi Yumeng , Ojeda Sebastian Pujalte , Yan Aixia 
Published: February 2024

Abstract
Protein-ligand interactions play central roles in biological processes and are of key importance in drug design1,2. Deep learning approaches hold the promise of becoming cost-effective alternatives to high-throughput experimental methods for ligand identification3-6. Here, to predict the binding affinity between proteins and small molecules, we introduce Ligand-Transformer, a deep learning framework based on the AlphaFold2 architecture7. We applied Ligand-Transformer to screen inhibitors targeting the mutant EGFRLTC kinase8,9, identifying compounds with low nanomolar potency. We then used this approach to predict the conformational population shifts induced by ABL kinase inhibitors10-14. To show the applicability of Ligand-Transformer to disordered proteins, we explored the binding of small molecules to the Alzheimer’s Aβ peptide15,16, identifying compounds that delayed its aggregation. Overall, Ligand-Transformer illustrates the potential of transformers in accurately predicting the interactions of small molecules with both ordered and disordered proteins, thus uncovering molecular mechanisms and facilitating the initial steps in drug discovery.
Synthesis and Analysis of Biomass based briquettes prepared by blend of natural and inorganic binders as an alternate fuel
Authors: Mariadhass Arul Jayan , Govindarajan Rajendran , Jayaprakash Sakthidasan , Chellakkannu Marimuthu , Joseph David Gnanaraj 
Published: February 2024

Abstract
Recent years it is found that the availability of conventional fuels like coal, lignite for domestic and industrial purposes is in scarce. The usage of these materials emits flue gases to the environment leading to air pollution. The cost of liquefied petroleum gas is very high recent years. Considering all the above said factors there is a need in developing a substitute called biomass briquettes with best properties for the conventional fuels which prevent air pollution, are less in cost and has maximum availability. The primary constituents of biomass briquettes consist of agricultural biomass residues, including sugarcane bagasse, maize stalk, straw, coconut shell and leaves, wood, groundnut shells, and rice husk. Additionally, sawdust and waste papers derived from municipal waste serve as binding agents in the briquette production process. In this research work waste bio-based materials having good range of calorific value like sawdust, rice husk, corn cobs and coconut shell were collected as raw materials for production process. Both organic binder algae and Inorganic binder Al2O3 were added to the carbonized bio-based materials to improve adhesive forces in briquettes.Al2O3 synthesized by sol gel method is a novel material used as an inorganic binder along with organic binders. Al2O3 synthesized is characterized by XRD to study the nature of the material. The obtained briquettes were analyzed for fixed carbon, volatile matter, moisture content, ash and calorific value. Briquettes synthesized showed good characteristics with respect to all the above said analysis. The calorific value which is known as heating value was around 26.67 MJ/kg. The value obtained was in the range of other fuels used and thus this biomass solid briquette finds its place as one of the best alternate source of fuel for domestic and industrial purposes. The comparative results obtained in this study give more insights in the encouragement, design and development of eco friendly bio-based briquettes in rural areas as an alternate fuel.
Selective adsorption of zearalenone by a novel magnetic molecularly imprinted carbon nanomaterial
Authors: deng Shaolin , Tan WenYuan , Xiong YaLin , Xie ZhiJin , Zhang Jing 
Published: February 2024

Abstract
In this paper, The objective is to immobilise molecularly imprinted polymers (MIPs) onto the surface of Magnetic carbon nanoparticles(Fe3O4@SiO2@C) for adsorption of Zearalenone (ZEN) provides an effective method. Synthesized MIPs by using warfarin as dummy templates of zearalenone, The functional monomer is 3-aminopropyl triethoxysilane (APTES), and the cross-linker is tetraethyl orthosilicate (TEOS). The carrier employed for the synthesis of magnetic molecularly imprinted polymers (MMIPs) was Fe3O4@SiO2@C. The materials were characterized using X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), vibrating sample magnetometer (VSM), Laser particle size analyzer, Scanning electron microscope(SEM), and thermogravimetric analysis (TGA). The results indicate that the particle size of MMIPs is approximately 27.31 µm. In addition, adsorption capacity of MMIPs was compared with MNIPs, The saturated adsorption capacity of MMIPs was 1.56mg/g, and that of MNIP was 0.86mg/g. The Scatchard analysis revealed the presence of two distinct binding sites in MMIPs.The limit of detection (LOD) and limit of quantitation (LOQ) in actual sample testing were 0.3 mg/L and 0.9mg/L respectively. The recovery of corn with standard addition of ZEN was 73.6%- 88.1%, and the relative standard deviation (RSD) was 2.86% − 5.63%. The results demonstrated that MMIPs possess the advantages of straightforward operation, high precision, and cost-effectiveness, rendering them suitable for rapid ZEN detection..
Potentially functional genetic variants of the N7-methylguanosine modification LARP1 gene predict hepatitis B virus-related hepatocellular carcinoma survival
Authors: Lu Qiunan , Liu Yingchun , Gong Rongbin , Cao Ji , Zhou Zihan , Wei Yuying , Wen Qiuping , Lin Qiuling , Wei Xiaoxia , Liang Xiumei , Jiang Yanji , Chen Peiqin , Wei Junjie , Zhan Shicheng , Qin Liming , Guo Qian , Qiu Moqin , Yu Hongping 
Published: February 2024

Abstract
Background
N7-methylguanosine (m7G) modification is an important RNA modification, which plays a key role in tumorigenesis and progression. However, few studies have explored the effects of genetic variants in m7G modification genes on survival of patients with hepatocellular carcinoma (HCC).
Methods
We used multivariable Cox proportional hazards regression to evaluate associations between genetic variants in 28 m7G modification genes and overall survival (OS) of 866 hepatitis B virus-related hepatocellular carcinoma (HBV-HCC) patients.
Results
In the present study, we identified that two potentially functional single nucleotide polymorphisms (SNPs) in LARP1 (rs12055336 G > C and rs6580113 G > C) were associated with OS of HBV-HCC patients, with an adjusted hazards ratio (HR) of 1.24 (95% confidence interval[CI] = 1.06–1.45, P = 0.008) and 0.83 (95% CI = 0.72–0.96, P = 0.011), respectively. The number of risk genotypes of these two SNPs showed a significant association with a poor survival of HBV-HCC patients (Ptrend=0.004). Expression quantitative trait loci (eQTL) analysis demonstrated that LARP1 rs12055336 C allele was associated with elevated mRNA expression levels in 670 whole blood samples in Genotype-Tissue Expression (GTEx) (P < 0.001), but not in 1000 Genomes Project. In addition, LARP1 rs6580113 C allele was associated with decreased mRNA expression levels in whole blood samples in GTEx (P < 0.001) and 76 lymphoblastoid cells samples in 1000 Genomes Project (P = 0.049). Furthermore, compared with adjacent normal tissues, LARP1 mRNA expression levels were higher in HCC tissues and were associated with a poorer OS of HCC patients.
Conclusions
These findings suggest that genetic variants of the m7G modification LARP1 gene may be predictors for HBV-HCC survival, likely by regulating the mRNA expression of corresponding gene.
A Large Scale Digital Twin for British Cities
Authors: Batty Michael , Milton Richard 
Published: February 2024

Abstract
Computer models of cities are being rapidly extended to simulate entire systems of cities, accessible through user-friendly visual interfaces. These enable fast evaluation of scenarios pertaining to future patterns of employment, population and modal trip frequencies. Here we build a platform, essentially a digital twin, for over 8000 urban places in Great Britain (GB) based on multi-modal spatial interaction models which simulate the connectivity that stitches locations together. We present the structure of the model and outline the form and function of the scaling of employment and population that define the system. After tuning the model, we illustrate how we measure the impacts of new scenarios, for example, simulating current plans for Integrated and High Speed Rail. We finally detail methods for organising the data, tuning the model, assessing its performance, and proposing how the twin can be used to evaluate many thousands of possible urban futures.
Decoupled Faecal Indicator Bacteria abundances in salinity gradient: field study and experimental approach
Authors: González-Pérez Joaquín , Ibargoyen Julián , Betancurt Diego , Díaz Martina , García-Alonso Javier 
Published: February 2024

Abstract
Water bodies receive and accumulate pollutants, including faecal pollution. The European Union Directive 2006/7/EC and the Recreational Water Quality Criteria of US EPA (2012) recommend the use of Escherichia coli in freshwaters and Enterococcus in marine/ brackish and freshwaters as Faecal Indicator Bacteria (FIB). Other bacteria such as Thermotolerant coliforms are also used as FIB. Different FIB reacts in particular ways with environmental conditions. The relative abundance of specific FIB at different salinity conditions is still poorly understood in estuarine environments, despite of numerous efforts to determine which FIB should be recommended to assess water quality in coastal environments. We performed an experimental approach and a field survey to evaluate the effect of salinity in the abundance of thermotolerant coliforms and Enterococcus. In the lab, the temporal abundance of both FIBs at different salinity concentrations were measured at 0, 24 and 48 hours. In the field, we estimated the abundance of FIBs in two environmental gradients of Uruguayan coast (beaches of the Rio de la Plata estuary and the Maldonado River basin). We observed that FIBs abundance associate distinctively with salinity gradients in the lab, where estuarine and oceanic conditions decreased the abundance of thermotolerant coliforms, while Enterococcus increased with high salt concentration. At the environment, both FIBs negatively associate with salinity probably denoting the freshwater source of FIBs. The results support the use of coliforms in freshwater environments and Enterococcus in marine and estuarine waters.
A qualitative interview study to explore costing of implementation strategies to support digital health adoption “it’s the difference between success and failure”
Authors: Donovan Thomasina , Carter Hannah E , McPhail Steven M , Abell Bridget 
Published: February 2024

Abstract

Background
Economic evaluations determine the relative value for money of health innovations and are important for decision makers when allocating scarce resources. However, implementation strategies to support digital health adoption require additional resourcing which is typically not accounted for in published economic evaluations. This study sought to understand current practices for capturing the costs associated with implementing digital health initiatives in hospital settings, where the complexities of technology and systems present unique challenges for implementation efforts.
Methods
A qualitative study of semi-structured interviews with purposefully sampled experts in implementation science, health economics and/or digital health was conducted. The interview guide was informed by a literature review and was pilot tested. Interviews were digitally recorded and transcribed. A hybrid inductive/deductive framework analysis was conducted using thematic analysis to elicit key concepts related to the research question.
Results
Interviews were conducted with 16 participants of which eight had specialist expertise in implementation science, six in health economics, and eight in digital health. Five participants were experienced in more than one field. Five key themes were elicited from the data: terminology and boundaries of implementation; types of costs; why implementation is costed; how to cost implementation; and barriers and enablers to costing implementation. Broadly, while interviewees recognised implementation costs as important, only some costs were considered in practice likely due to the perceived ill-defined boundaries and inconsistencies in terminology of implementation. Labour was highlighted as being the main cost associated with implementation strategies to support digital health adoption. A variety of methods were used to collect and analyse implementation costs; the most frequent approach was staff time tracking. Implementation costs were typically recorded to support the delivery of high value care. Multidisciplinary collaboration facilitated this process, but the burden of collecting the necessary data was highlighted.
Conclusions
Current practices for costing implementation in the context of digital health initiatives discussed by participants highlighted inconsistent approaches that were likely to underestimate organisational implementation costs. Although participants had industry exposure, most were also academic researchers and findings may not be representative of non-academic industry settings. Development of appropriate methodology for costing implementation strategies to support digital health adoption remains a priority.