bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling Propped and Unpropped Fracture Conductivity in Fracture and Reservoir Models: Powder River Basin Turner Study
Authors: Li Han Jake , Tan Jiasen , Craig David P. , Brehm Andy , Han Jichao , Li Qian 
Published: January 2022

Abstract
Well spacing in unconventional fields is a challenging task because the hydraulic fracture geometry is not fully known and there is uncertainty about reservoir properties. Integrating geomechanics medeling with reservoir simulation is a cost-effective and efficient approach for generating realistic fracture geometry, estimating fracture conductivity, and understanding fluid flow behavior. This paper presents a case study of integrated geomechanical and reservoir flow simulation validated with fracture and reservoir diagnostics for the purpose of determining ideal well spacing.
In a Rocky Mountain Powder River Basin field, a standalone horizontal well in the Turner reservoir was produced for almost a year before drilling adjacent infill producers. FMI logs recorded in the infill wells indicated hundreds of hydraulic fractures growing from the parent well. Based on the distances and the hydraulic fracture density from the image logs, a 3D fracture model was calibrated for the parent well.
The fracture geometry and simulated proppant concentration were then exported to a reservoir simulator, where production was history matched. This simulation was constrained by measured far-field pressure data from the DFIT in each wellbore. A rigorous fracture conductivity calculation workflow was developed and applied before reservoir simulation. The conductivity workflow uses simulated proppant concentration from the fracture model and conductivity measurements of propped and unpropped fractures to define a conductivity distribution for reservoir simulation. Additionally, a proppant creep function was developed to characterize proppant-pack conductivity degradation over time.
By applying the fracture conductivity calculation workflow and the measured far-field pressure constraints, the production history was matched for the full parent wellbore. The simulation results show that the parent well's drainage are covers some of the infill well's targeted reservoir. Subsequent hydraulic fracture simulations of multiple infill wells then demonstrated the effect of parent well depletion and rock stresses on the hydraulic fracture geometry of the infill wells.
Our case study illustrates: (a) how modeled hydraulic fracture geometry can be calibrated using image logs recorded in the laterals of infill wells, (b) how a new proppant conductivity algorithm can be used to assign propped and unpropped fracture conductivity based on physics-based models of proppant concentration, (c) how reservoir simulation can be constrained with a calibrated fracture model and far-field pressure measurements, and (d) how a new proppant creep function can be used to describe proppant-pack conductivity degradation over time.
Exact multiplicity of positive solutions for the one-dimensional Minkowski-curvature problem with convex-concave nonlinearity
Authors: Gao Hongliang , Xu Jing 
Published: January 2022

Abstract
We establish the bifurcation curves and exact multiplicity of positive solutions for Dirichlet problem with mean curvature operator in the Minkowski spacewhere λ and L are positive parameters, f∈C1[0, ∞) ∩ C2(0, ∞) satisfies f(0) = 0 and f(u) > 0 for u ∈ (0, L), and f is convex-concave on (0, L). By a detailed analysis of the time map, we determine the interval of parameter λ in which the above problem has zero, exactly one or exactly two positive solutions when f satisfies certain conditions.
Color Associations in Landscape Design and Subscription Levels to These Associations
Authors: Eren Emine Tarakçı , Alpak Elif Merve , Düzenli Tuğba 
Published: January 2022

Abstract
In the present study, a two-tiered research method was adopted. In the first stage, a literature review was conducted to determine the associations that landscape colors evoke in individuals and each association was converted into a statement for each color. The developed 5-point Likert-type scale was submitted for expert opinion (N = 200) and factor analysis was conducted on the findings to determine correlated sub-factors and categorized in the same factor. Thus, the statements in the 1st factor group were mainly physical associations and named as physical associations. The second factor group was named emotional associations, and the third factor group was named behavioral associations. Thus, the survey form that will be used in the second study stage was finalized. The factor analysis was also conducted to reduce the number of statements in the scale. Furthermore, 102 statements with a factor load of below 0.20 were excluded. Thus, the final scale included 34 physical, emotional and behavioral associations in 3 dimensions. In the second stage, the final 5-point Likert-type survey form was applied to the expert group (N = 200) and the participants (N = 200) to determine the agreement of these two groups with the associations. Also, the differences between the agreement levels of the two groups with the associations and the differences between the associations were determined.The statistical analyses revealed that there was a difference between the mean association scores of the participant and the expert groups in 3 factors (physical association, emotional association and behavioral association) at 0.05 significance level (sig. 0.000, F = 34.432). The direction and size of the correlations between the factors were determined with the correlation analysis, multiple regression analysis was conducted to determine the effect of the factors on others, and it was determined that there was a positive significant correlation between 1st factor and agreement, and a negative significant correlation between the 2nd and 3rd factor groups and agreement. The order of the factors that explained the variation in agreement was the 1st factor (ß =, 332; p = 0.000), the 2nd factor (ß = -, 274; p = 0.000), and the 3rd factor (ß = -, 157; p = 0.001), respectively.
A Mesh-Based Model of Liver Vasculature: Implications for Improved Radiation Dosimetry to Liver Parenchyma for Radiopharmaceuticals
Authors: Correa-Alfonso Camilo M. , Withrow Julia D. , Domal Sean J. , Xing Shu , Shin Jungwook , Grassberger Clemens , Paganetti Harald , Bolch Wesley E. 
Published: January 2022

Abstract
PurposeTo develop a detailed model of the internal vasculature of the adult liver for blood dosimetry in radiation therapy and demonstrate its application to allowing a more explicit differentiation of radiopharmaceutical decay sites within liver parenchyma separate from those within the organ’s blood content. MethodComputer-generated models of hepatic arterial (HA), hepatic venous (HV), and hepatic portal venous (HPV) vascular trees were created within individual lobe segments of the ICRP adult female and male livers (AFL/AML) via an in-house algorithm based on the ConstrainedConstructive-Optimization (CCO) method. Hemodynamic and geometric parameters of the main vessels were used as inputs. For each iteration of the algorithm, pressure, blood flow, and vessel radii within each tree were updated as each new vessel was created and connected to the viable bifurcation site. The vascular networks created inside the AFL/AML were then tetrahedralized to perform radiation transport using Monte Carlo. Specific Absorbed Fractions (SAF) were computed for monoenergetic alpha particles, electrons, and photons. Dual-region liver models of the AFL/AML were proposed and particle-specific SAF values were computed assuming blood decays as modeled in two regions: (1) sites within explicitly modeled hepatic vessels, and (2) sites within the hepatic blood pool residing outside these vessels to include the liver capillaries and blood sinuses. S-values for 22 radionuclides commonly used in radiopharmaceutical therapy were computed using the proposed dual-region liver models which were then compared to S-values obtained in current dosimetric practice: a single-region liver model of homogenized liver parenchyma (LP) and liver blood (LB). ResultsLiver models with virtual vasculatures of ~6000 non-intersecting straight cylinders representing the HA, HPV, and HV circulations were created independently for the ICRP reference AFL and AML. SAF energy profiles were obtained using the single-region and dual-region models. For alpha emitting radionuclides, S-values using the single-region models were approximately 14% and 11% higher than the S-values obtained using the dual-region AFL and AML models, respectively. For beta and auger-electron emitters, S-values based on the single-region model were up to 13% and 11% higher than in the dual-region model for the AFL and AML, respectively.ConclusionsThe methodology employed for the liver can be applied to all major organs of the computational phantom for both improved dosimetry of organ parenchyma.
Digital Economy Development and Haze Pollution: Empirical Evidence from Chinese Cities
Authors: Che shuai , Wang jun 
Published: January 2022

Abstract
The development of the digital economy radiates to national ecological protection and resource utilisation, holding the key to haze governance. Firstly, this paper examines whether the development of digital economy in China has a restraining effect on haze pollution. Secondly, the article verifies the robustness of the research results through the instrumental variable method and quasi-natural experiment. Finally, the paper examines the potential transmission channels of haze pollution affected by the digital economy. Results show the digital economy negatively affects urban haze pollution in China. Specifically, in resource-based, non-resource-based, eastern and large cities, the growth of the digital economy has an obvious repression on haze pollution. The establishment of the "national big data comprehensive experimental area" is conducive to the control of haze pollution. Finally, the results reveal that the development of the digital economy significantly reduces haze pollution through economic growth, industrial structure and foreign direct investment effects.
An Ensemble Based Computational Social System for Fake News Detection in MANET Messaging
Authors: Ramkissoon Amit Neil , Goodridge Wayne 
Published: January 2022

Abstract
Mobile Adhoc Networks (MANETs) are utilised in a variety of mission critical situations and as such it is important to detect any fake news that exists in such networks. This research combines the power of Veracity, a unique, computational social system with that of Legitimacy, a dedicated ensemble learning technique, to detect Fake News in MANET Messaging. Veracity uses five algorithms namely, VerifyNews, CompareText, PredictCred, CredScore and EyeTruth for the capture, computation and analysis of the credibility and content data features using computational social intelligence. To validate Veracity, a dataset of publisher credibility-based and message content-based features is generated to predict fake news. To analyse the data features, Legitimacy, a unique ensemble learning prediction model is used. Four analytical methodologies are used to analyse these experimental results. The analysis of the results reports a good performance of the Veracity architecture combined with the Legitimacy model for the task of fake news detection in MANET Messaging.
The Effect of China's Regional Economic Competitiveness on CO2 Emissions-Based on Economic Factors
Authors: Chang keliang , Du zifang , Gao Wang , Wang Quan , Chen Guijing , Ma Wenbo 
Published: January 2022

Abstract
Under the pressure of emission-reduction, China's regional economy needs to eliminate the mode of high energy consumption, high pollution, and high emission. However, the economic development of each region has its own characteristics. Therefore, to analyze the differences in the effect of regional economic development on CO2 emissions, this work made an investigation from the perspective of regional economic competitiveness. First, using the panel data of thirteen economic factors from 2003-2017, this work evaluated the economic competitiveness of 30 provinces from the four aspects: competitiveness of residents’ wealth (WC), competitiveness of opening-up (OC), competitiveness of technology (TC), and competitiveness of industrial structure (IC). Furthermore, the panel principal component regression model (PPCR) was established for the eastern region, the central region, and the western region according to the score of competitiveness in four aspects. The results suggested that the promoting effect of WC on CO2 emissions presented the rule opposite to WC. In other words, the stronger the competitive advantage of WC, the weaker its effect on promoting CO2 emissions. The "pollution refuge" hypothesis was verified in all three regions of China. And the promotion of CO2 emissions by OC was the strongest in the central region, followed by the eastern region, and the weakest in the western region. TC promoted CO2 emissions in the central region, but inhibited CO2 emissions in the eastern and western regions. Finally, the inhibiting effect of IC on CO2 emissions showed the same law as IC. Based on the conclusions, some recommendations were put forward.
Synthesis of Modern Nanodrugs to Simulate the Activity of Cytochrome P 450 Enzymes Its Software Study to Enter the Surface Membrane of Blood
Authors: Masoumi sara , Esmaeili Akbar 
Published: January 2022

Abstract
In this study magnetic nanoparticles serve as a carrier for delivering the drug to the target. Simulations were done using COMSOL multi-physics and visual molecular dynamics software. In this study, with the help of docking, the structure of buprenorphine with CYP2C8 and CYP3A4 complexes was modeled to function as the main enzymes entering the human body (only model theoretical). The crystallographic structure of the complexes is available in the protein database. Interaction of BUP with cell membrane has been investigated in terms of Van der Waals energy and center of mass distance. Our results confirm the stability, appropriateness and low uptake of buprenorphine into the cell membrane. Computational results also confirmed the accuracy of laboratory studies. Due to its hydrophobic properties, buprenorphine retains stability and low adsorption by the cell membranes. Consumption and administration of buprenorphine can be much more effective and efficient in the treatment of withdrawal from modern drug delivery methods. The innovative feature of this project is the study of interactions using molecular dynamics simulation methods and the behavior of these complexes in different environments. Physiological simulations of the body for magnetic force and tensile force due to adhesion were examined utilizing visual molecular dynamics and COMSOL software.
Dynamics Modeling Method Dedicated to System Models with Open- and Closed-loop Structures Subjected to Kinematic and Task Based Constraints
Authors: Jarzębowska Elżbieta , Augustynek Krzysztof , Urbaś Andrzej 
Published: January 2022

Abstract
The paper presents a development of an automated computational procedure for constrained dynamics (CoPCoD) dedicated to derivation of dynamical models of mechanical systems, e.g. manipulators both ground and space or mobile robotic systems, which can be composed of rigid and flexible links. They may be subjected to constraints, which are referred to as programmed, may come from performance requirements, e.g. work or services a system is dedicated to. The CoPCoD structure offers systematic modeling of either open or closed loop constrained structures and results in computationally efficient numerical dynamical equations derivation. The CoPCoD development has its background in the generalized programmed motion equations (GPME) algorithm developed successfully for rigid models of mechanical systems subjected to high order nonholonomic constraints, however, the GPME was not fully automated for computer equation derivations. The two main motivations that underlie the CoPCoD development are to extend the GPME to flexible system models and make it fully automated to computer equation derivations for large classes of systems. The paper presents the general scheme of the CoPCoD architecture and examples which illustrate its application advantages.
Atlas of Regulated Target Genes of Transcription Factors (ART-TF) in Human ES Cells
Authors: Sharov Alexei , Nakatake Yuhki , Wang Weidong 
Published: January 2022

Abstract
BackgroundTranscription factors (TFs) play central roles in maintaining “stemness” of ES cells and their differentiation into several hundreds of adult cell types. Their regulatory competence is routinely assessed by detecting target genes to which they bind. However, these data do not indicate which target genes are activated, repressed, or not affected by the change of TF abundance. There is a lack of large-scale studies that compare the genome binding of TFs with the expression change of target genes after manipulation of each TF.ResultsIn this paper we associated human TFs with their target genes by two criteria: binding to genes, evaluated from published ChIP-seq data (n = 1891); and change of target gene expression shortly after induction of each TF in human ES cells. Lists of direction- and strength-specific regulated target genes are generated for 319 TFs with expected proportion of false positives ≤0.30, including 64 new TFs not present in four existing databases of target genes. Our lists of direction-specific targets for 182 TFs are larger that in the TRRUST database. In average, 32.8% of genes that respond ≥2 fold to the induction of TFs are regulated targets. Regulated target genes indicate that the majority of TFs are either strong activators or strong repressors, whereas sets of genes that responded ≥2 fold to the induction of TFs did not show strong asymmetry in the direction of expression change. The majority of human TFs (80.2%) regulated their target genes primarily via binding to enhancers. Repression of target genes is more often mediated by promoter-binding than activation of target genes. Enhancer-36 promoter loops are more abundant among strong activator and repressor TFs.ConclusionsWe developed an Atlas of Regulated Targets of TFs (ART-TF) in human ES cells by combining data on TF binding with data on gene expression change after manipulation of individual TFs. Sets of regulated gene targets were identified with a controlled rate of false positives. This approach contributes to the understanding of biological functions of TFs and organization of gene regulatory networks. This atlas should be a valuable resource for ES cell-based regenerative medicine studies.
Genetic Programming for Prediction of Heat Stress Hazard in Underground Coal Mine Environment
Authors: Mishra Devi Prasad , Roy Siddhartha , Bhattacharjee Ram Madhab , Agrawal Hemant 
Published: January 2022

Abstract
Working against nature and uncertain environment makes underground mining a hazardous profession. Every year hundreds of miners lose their valuable lives due to mine hazards. Increasing demand for coal necessitates the extraction of coal at a higher rate. As a result, easily minable shallow coal deposits are depleting speedily, and in near future, deep seated deposits will be left for mining by underground methods. With rising depth and deployment of high-capacity machines, increasing heat stress becomes a major hazard in underground mine environment posing threat to the miners’ health, productivity and safety. Ignoring the effect of heat stress may lead to dangerous circumstances, even result in death. To avoid such unwanted event, it has become imperative to predict the heat stress to reduce its adverse impact in underground coal mines. Therefore, in this study a detailed field survey is conducted to collect the environmental data of three underground coal mines. Genetic programming (GP) is done to develop relation between the environmental parameters and heat stress, by taking the mine survey data as input. The good correlation coefficient (R=0.9816) is obtained between the GP predicted heat stress and actually measured heat stress, which indicates that GP can be effectively used to predict the heat stress in underground mines. A sensitivity analysis (SA) is done to determine the effect of input parameters on heat stress. The SA results reveled that all six input parameters have considerable effect on the heat stress, however, dry-bulb temperature has the highest effect (0.98) on heat stress.
Screening for Various Haemoglobinopathies to Observe Prevalence and Patterns in Population of District Datia (M.P.), India
Authors: Mishra Nalini , Rajasubramaniam S. , Balakrishna S.L. , Kumawat Archana , Gaur Rajesh , Sharma Amita , Gupta Rajesh , Das Aparup 
Published: January 2022

Abstract
Purpose: Haemoglobinopathies are the most common inherited disorder of Red Blood Cells across globe and one of the major public health problems in many regions of India. Variation in ethnic and regional prevalence is observed. The prevalence and pattern of haemoglobinopathies in Datia region has not been reported limiting the knowledge of diseases profile in this region. Present work showed the broad view of various haemoglobinopathies in the local area and population at risk. Efforts were made to identify prevalence of Sickle cell anaemia, β-thalassemia major and G-6-P-D deficiency among patients attending various OPDs of District Hospital, Datia, Madhya Pradesh, India. Methods: All anaemia patients referred by Govt. hospitals/facilities (Datia District hospital) exhibiting anaemia were screened for various haemoglobinopathies. A total of 605 cases exhibiting anemia received from September 2017 to March 2020 at the Model Rural Health Research Unit (MRHRU), Datia, M.P. were tested for different haemoglobinopathies. Samples were received from District Hospital Datia. The samples were tested by solubility and cellulose acetate electrophoresis and HPLC and G6PD deficiency.Results: A total 605 patients were screened for haemoglobinopathies from District Hospital, Datia. It was found that 13 cases (2.14%) were of β thalassemia trait and other rare variants followed by 4 cases (0.66%)of sickle cell trait. A total of 3 cases (0.5%) of β thalassemia major was observed in total samples of 605.Conclusion: Very low prevalence rate of Sickle cell anaemia and thalassemia was observed. Large scale screening in the region is required for identifying the true burden.
Surface Modification of PAN/PVA Nanofibers by Atmospheric Pressure Air Dielectric Barrier Discharge Plasma for Glucose Oxidase Immobilization
Authors: Jahanfar Mehdi , Anaghizi Saeed Javadi , Asadi Sepideh , Ghomi Hamid 
Published: January 2022

Abstract
Polymeric nanoﬁber readies an appropriate circumstance for enzyme immobilization for assortment of utilizations. In this examination, we’ve got made up polyvinyl alcohol /polyacrylonitrile (PVA/PAN) nanoﬁbers utilizing electrospinning. After fabrication of nanoﬁbers, the impact of atmospheric pressure air dielectric barrier discharge plasma (DBD) on PVA/PAN nanoﬁbers were investigated in various times. Among them, 6min treat by air DBD plasma had the most signiﬁcant impact on glucose oxidase (GOx) immobilization. Attenuated total reﬂectance-Fourier transform infrared (ATR-FTIR) spectrographic analysis and hydrophilic capacity and contact angle results uncovered that if there should arise an occurrence of DBD plasma modiﬁed nanoﬁbers, the carboxyl bounds on a superficial level are expanded. The scanning electron microscopy (SEM) pictures indicated that, after GOx immobilization, the modiﬁed nanoﬁbers with plasma has held its nanoﬁber structure. At last, we examined reusability and storage stability of GOx immobilized on plasma modiﬁed and unmodiﬁed nanoﬁbers. The results were additional satisfactory for modiﬁed nanoﬁbers with relevance to unmodiﬁed ones.