bluuebunny/crossref_metadata_2025_split huggingface dataset:
Phase Equilibria of Acid-Gas Aqueous Systems (CO2, H2S, CH4, Water) and In-Situ pH Measurements in Application to Top-of-Line Corrosion
Authors: Dindoruk Birol , Ratnakar Ram R. , Suchismita Sanyal 
Published: February 2021

SummaryWe present thermodynamic modeling and pH measurements of fluid systems containing acid-gases (e.g., CO2 and H2S), water, and hydrocarbons—replicating the production and shutdown conditions in sour fields—for the purpose of evaluating top-of-line corrosion (TLC) and wellbore integrity and screening/selection of the proper wellbore materials. In particular:An equation of state (EOS) model using Peng-Robinson EOS in combination with the Huron-Vidal (HV) mixing rule for an aqueous subsystem is developed. In the model, subject EOS parameters are calibrated against existing thermodynamic data (saturation data for pure components and solubility data for binary systems) in literature. New in-situ pH measurement data are presented for a model system corresponding to a sour field. It was found that the wellbore can be subjected to pH levels as low as 2.7 with reservoir fluid containing 12 mol% CO2 and 88 mol% CH4 with downhole flowing conditions of 200 bar and 150°C and wellhead shut-in conditions of 300 bar and 4°C, as observed from the experiments. A modeling workflow is developed to estimate pH of the condensed water as a function of temperature and composition of the aqueous phase. The comparison between prediction and experimental measurement shows a very good match between the two (within pH ±0.1).Such studies (pH measurements and prediction) are not available in the literature but play important roles in material screening and assuring wellbore integrity for sour fields. More importantly, sensitivity analysis can be performed to investigate the effects of various factors (such as reservoir temperature/pressure, shutdown conditions, and compositions or extent of souring) on pH prediction. Furthermore, the methodologies developed through this work can also be extended to reservoir facilities, pipelines, sour gas disposal/handling units, and downstream systems such as water utilities, reactor plants, and refineries. The work can also support regulation/licensing for these sour systems.
Predicting Reservoir Fluid Properties from Advanced Mud Gas Data
Authors: Yang Tao , Yerkinkyzy Gulnar , Uleberg Knut , Arief Ibnu Hafidz 
Published: February 2021

SummaryIn a recent paper, we published a machine learning method to quantitatively predict reservoir fluid gas/oil ratio (GOR) from advanced mud gas (AMG) data. The significant increase of the model accuracy compared to traditional modeling approaches makes it possible to estimate reservoir fluid GOR based on AMG data while drilling, before the wireline operation. This approach has clear advantages because of early access, low cost, and a continuous reservoir fluid GOR for all reservoir zones. This paper releases further study results to predict other reservoir fluid properties in addition to GOR, which is essential for geo-operations, field development plans, and production optimization.Two approaches were selected to predict other reservoir fluid properties. As illustrated by the reservoir fluid density example, we developed machine learning models for individual reservoir fluid properties for the first approach, similar to the GOR prediction approach in the previous paper. As for the second approach, instead of developing many machine learning models for individual reservoir fluid property, we investigated the essential properties for equation of state (EOS) fluid characterization: C6 and C7+ composition and the molecular weight and density of the C7+ fraction. Once these properties are in place, the entire spectrum of reservoir fluid properties can be calculated with the EOS model.The results of reservoir fluid property prediction are satisfactory with both approaches. The reservoir oil density prediction has a mean average error (MAE) of 0.039 g/cm3. The accuracy is similar to the typical density derived from the pressure gradient from wireline logging data. For the essential fluid properties required for EOS model prediction, the overall accuracy is less than the laboratory measurements but acceptable as the early phase estimations. The reservoir fluid properties predicted from the EOS model are similar to the predictions from individual machine learning models. We applied the field measured AMG data into the reservoir fluid property models and achieved good results, as illustrated by the reservoir fluid density example.The previous paper completed the methodology to predict all reservoir fluid properties based on AMG data. This work paves the way to generate a complete reservoir fluid log for all relevant reservoir fluid properties while drilling. The method has a significant business impact, providing full coverage of reservoir fluid properties along the well path in the early drilling phase. The advantage of providing reservoir fluid properties in all reservoir zones while drilling far outweighs the limitation of somewhat reduced reservoir fluid property accuracy.
The Build-Up of Aerosols Carrying the SARS-CoV-2 Coronavirus, in Poorly Ventilated, Confined Spaces
Authors: Birnir Björn 
Published: February 2021

Abstract
A model of the distribution of respiratory droplets and aerosols by Lagrangian turbulent air-flow is developed and used to show how the SARS-CoV-2 Coronavirus can be dispersed by the breathing of an infected person. It is shown that the concentration of viruses in the exhaled cloud can increase to infectious levels with time (grow linearly), in a confined space where the air re-circulates. The model is used to analyze the air-flow and SARS-CoV-2 Coronavirus build-up in a restaurant in Guangzhou, China [32, 30]. It is concluded that the outbreak of Covid-19 pandemic in the restaurant in January 2020, is due to the build-up of the airborne droplets and aerosols carrying the SARS-CoV-2 Coronavirus and would not have been prevented by standard ventilation. A comparison with standard models for aerosol concentration shows that, in the absence of ventilation, the decay of the aerosol concentration is also controlled by the decay time of the virions in aerosols. This decay time is very long, with low relative humidity, and a steady state is not achieved in the time-frame of the contagion. Instead the concentration exhibits a polynomial increase and reaches infectious levels in a relatively short time, explaining the outbreak in the restaurant in Guangzhou.
Pivot burrowing of scarab beetle (Trypoxylus dichotomus) larva
Authors: Adachi Haruhiko , Ozawa Makoto , Yagi Satoshi , Seita Makoto , Kondo Shigeru 
Published: February 2021

Abstract
Many organisms live in the soil but only a little is known about their ecology especially movement style. Scarab beetle larvae do not have appendages to shovel soil and their trunk is thick compared to their body length. Hence, their movement through the soil is perplexing. Here, we established the observation and analysis system of larval movement and found that the last larval instars of Trypoxylus dichotomus burrow in two different ways, depending on the hardness of the soil. If the soil is soft, the larvae keep their body in a straight line and use longitudinal expansion and contraction; if the soil is hard, they flex and rotate their body. It is thought that the larvae adapt to diverse soil conditions using two different excavation methods. These results are important for understanding the soil ecology and pose a challenge to engineer of newer excavation technology.
DBPR: DataBase of Plant Research
Authors: Ullah Shahid , Rahman Wajeeha , Ullah Farhan , Ahmad Gulzar , Ijaz Muhammad , Gao Tianshun 
Published: February 2021

Abstract
Databases of plant have been an integral part of modern biology. Enormous quantities of data are produced from plants and improving with time, many databases have been published with large amounts of data in various fields, including proteomics, transcriptomics, genomics, and metabolomics. To make it easier, a comprehensive database is needed to sort and organized all these data to one platform and give an easy and friendly finding way to plant research community, because, databases are a standard strategy for analyzing, storing, and processing such big data. Therefore, we have compiled 225 plant databases on a single platform and grouped them into 5 categories on the basis of various typescripts, such as the Protein, DNA, RNA, Pathway and Expression database, which can be indexed by clicking on the name of the category or by clicking on the picture expression or directly searching in the specified search bar in the database. DBPR is a comprehensive plant resource database that is available on https://www.habdsk.org/dbpr.php . Computer platform such as PHP, HTML, CSS, and JavaScript has been used to build and will be updated timely.
Does mental rotation emulate motor processes? An electrophysiological study of objects and body parts
Authors: Granda Marta Menéndez , Iannotti Giannina , Darqué Alexandra , Ptak Radek 
Published: February 2021

Abstract
Several arguments suggest that mental rotation (MR) and motor planning may share embodied neural mechanisms, but the overlap between cognitive processes recruited during MR of objects and body parts is not well established. We here used high-density EEG to examine the cognitive similarity between MR of non-manipulable objects (chairs) and bodily stimuli (hands). We selected chairs because they may appear in a recognizable left-right orientation and are not automatically associated with a manual action. Participants had identical response options for both types of stimuli, and they gave responses orally in order to prevent possible interference with motor imagery. MR of hands and chairs generated very similar behavioral responses, time-courses and neural sources of evoked-response potentials (ERPs). ERP segmentation analysis revealed distinct time windows during which differential effects of stimulus type and angular disparity were observed. An early period (90-160 ms) differentiated only between stimulus types, and was associated with occipito-temporal activity. A later period (290-330 ms) revealed strong effects of angular disparity, associated with electrical sources in the right angular gyrus and primary motor/somatosensory cortex. These data suggest that spatial transformation processes and motor planning are recruited simultaneously, supporting the involvement of motor emulation processes in MR.
Trend Analysis of Lakes and Sinkholes in Konya Closed Basin, Turkey
Authors: DEMIR Vahdettin 
Published: February 2021

Abstract
Determining changes in the water level of lakes is essential in terms of flood control, water resource management, economic development, water-supply planning sustainability, and the sustainability of the ecosystem. Trend analysis is one of the most commonly used tools for detecting changes in the hydrological time series such as lake levels, precipitation and temperature. Trend analyses of meteorological variables and groundwater levels (baseflow components) are crucial toward the assessment of long-term changes in lake levels. This study aims to investigate the trend of long-term change in lakes (Lake Tuz and Lake Beyşehir) and sinkholes (Timraş and Kızören) in the Konya Closed Basin in Turkey. Changes in these lakes and sinkholes were examined along with changes in precipitation and groundwater trends representing the climate in the region. With the assistance of Thiessen polygons, precipitation stations, which affect the lakes and sinkholes, were determined. Several statistical tests exist that help determine the significance of hydrological trends over time. These tests are divided into two categories: parametric and nonparametric. In this study, the non parametric Innovative Sen trend test, the Modified Mann–Kendall trend test, and the parametric Linear Trend test were used. As a result of the trend analysis, it was observed that the water levels of Kızören and Timraş sinkholes decreased over time, and the water levels of Tuz Gölü and Beyşehir lakes increased over time. These results are supported by the trends of precipitation data and groundwater level data of the stations determined by the Thiessen polygons and sub-basin boundaries.
Citric acid and AMF Inoculation Combination Assisted phytoextraction of vanadium (V) by Medicago Sativa in V Mining Contaminated Soil
Authors: Qiu Lang , Gao Wenlong , Wang Zhigang , Li Baoqin , Sun Weimin , Gao Pin , Sun Xiaoxu , Song Benru , Zhang Yanxu , Kong Tianle , Lin Hanzhi 
Published: February 2021

Abstract
The use of citric acid (CA) chelator to facilitate metal bioavailability is a promising approach for phytoextraction of heavy metal contaminants. However, the role of CA chelator associated with arbuscular mycorrhizal fungi (AMF) inoculation on phytoextraction of vanadium (V) has not been studied. Therefore, in this study, a greenhouse pot experiment was conducted to evaluate the combined effect of CA chelator and AMF inoculation on plant growth and V phytoextraction in the V mining contaminated soil by Medicago sativa Linn. (M. sativa). The experiment was performed via CA (at 0, 5 and 10 mM kg− 1 soil levels) application alone or in combination with AMF inoculation. Plant biomass, root mycorrhizal colonization, P and V accumulation, antioxidant enzyme activity in plant, and soil chemical speciation of V were evaluated. Results depicted (1) a marked decline in plant biomass and root mycorrhizal colonization in 5- and 10-mM CA treatments which were accompanied by a significant increased V accumulation in M. sativa tissues. The effects could be attributed to the enhancement of bioavailable V by mainly transferring from the reducible to acid-soluble V fraction. (2) The presence of CA significantly enhanced P acquisition while the ratio of P/V concentration in plant shoots and roots decreased, owing to the increased V translocation from soil to plant. (3) In both CA treated soil, AMF symbiosis significantly improved dry weight (31.4–73.3%) and P content (37.3-122.5%) in shoot and root of M. sativa, and showed markedly contribution in reduction of malondialdehyde (MDA) content (12.8–16.2%) and higher antioxidants (SOD, POD and CAT) activities in the leaves, suggesting their combination could promote growth performance and stimulate antioxidant response alleviating V stress induced by CA chelator. (4) Taken together, 10 mM kg− 1 CA application and AMF inoculation combination exhibited higher amount of extracted V both in the shoot and root. Thus, citric acid-AMF-plant symbiosis provides a novel remediation strategy for in situ V phytoextraction by M. sativa in the contaminated soil.
Electrothermal modeling for nano AlGaN/GaN HEMTs using dual-phase-lag theory
Authors: Khemiri Randa , Gazzah Mohamed Hichem , Belmabrouk Hafedh 
Published: February 2021

Abstract
The combined dependence of the electronic and thermal characteristics in the AlGaN/GaN HEMTs supported in nano-elctronic devices was studied theoretically and numerically. The Schrödinger-Poisson equations coupled with Dual phase lag (DPL) thermal transfer equation was undertaken. Simultaneous impacts of the conduction band offset and polarization charge between the AlGaN/GaN heterointerface induce the production of the two-dimensional electron gas density (2DEG). The simulation results showed that the 2DEG density at the heterointerface increased with increase of Aluminum fraction. In addition, the simulation results of the thermalization process were found to be in good agreement with the literature. As a result, the maximum heat generation as well the maximum temperature at the heterointerface increased. The obtained result could to be useful in assessing thermal transfer in the AlGaN/GaN HEMTs nano-devices to improve their performance.
An Investigation into the Implementation Processes of Ghana’s Primary Health Care Strategy: The Community-Based Health Planning and Services Programme.
Authors: Edusei Matthew Kwame , Barimah Kofi Bobi , Asibuo Samuel Kwadwo 
Published: February 2021

Abstract
Background: Ghana has adopted the community-based health planning and services (CHPS) programme as the public health strategy for meeting its universal health goals. The programme is facing implementation challenges that are affecting its expansion within the communities. This research was undertaken to examine the implementation processes of CHPS and suggest solutions to improve its scaling-up within the communities.Method : An exploratory research design was used with a mixed method approach that involved the testing of a hypothesis. Results : The study found that in places with on-going CHPS programmes, there is statistically significant (p<0.001) evidence that the implementation processes are not flawed. However, the district assemblies were selective in the allocation of CHPS zones within the communities. Conclusion : Chieftaincy conflicts within the communities are impeding the community entry aspect of the CHPS policy implementation processes and needs to be addressed by policy makers in the relevant government agencies.
The Value of Ga68-DOTATATE PET/CT in Diagnosis and Management of Suspected Pituitary Tumors
Authors: Novruzov Fuad , Aliyev Aziz , Wan Ming Young S , Syed Rizwan , Mehdi Elnur , Aliyeva Irada , Giammarile Francesco , Bomanji Jamshed , Kayani Irfan 
Published: February 2021

Abstract
Backroud Gallium 68-tetraazacyclododecane-tetraacetic acid-octreotate (Ga-68‑DOTATATE) is a selective somatostatin analogue ligand, which shows increased affinity for somatostatin receptor subtype (SSTR) 2 and has been used routinely for imaging neuroendocrine tumors with PET/CT. We investigated the utility of ­­Ga-68‑DOTATATE positron emission tomography/computed tomography (PET/CT) in patients with suspected pituitary pathology. We reviewed imaging for twenty consecutive patients (8 men, 12 women, mean age of 48.2, range: 14-78) with suspected pituitary pathology who were referred for Ga-68-DOTATATE PET-CT. Results Nine patients presented with recurrent Cushing's syndrome following surgical resection of pituitary adenomas due to recurrent Cushing's disease (seven patients) and ectopic ACTH secreting tumor (2 patients). All seven patients with recurrent Cushing's disease showed positive pituitary Ga-68-DOTATATE uptake while both cases of ectopic hormonal secretion had absent pituitary uptake. In 1 of these 2 patients Ga-68-DOTATATE was able to localize the source of ectopic ACTH tumor. Six patients presented de novo with Cushing's due to ectopic ACTH secretion; Ga-68‑DOTATATE PET/CT was able to localize ectopic tumors in six of eight patients (3 lungs, 2 pancreases, 1 mid-gut) There was high uptake Ga-68-DOTATATE in 3 cases of recurrent central hyperthyroidism (SUVmax 6.6-14.3) and 2 cases of prolactinoma (SUVmax 5.5 and 11.3).Conclusion Absent Ga-68-DOTATATE activity in the pituitary fossa is useful in excluding pituitary disease in recurrent Cushing’s. Recurrent pituitary thyrotropinomas and prolactinomas showed moderate to high pituitary activity. In addition, in Cushing’s syndrome Ga-68-DOTATATE is useful for detection of ectopic sources of ACTH production, especially where anatomic imaging is negative.
Characterizing social-ecological context and success factors of antimicrobial resistance interventions across the One Health spectrum: Analysis of 42 interventions targeting E. coli
Authors: Léger Anaïs , Lambraki Irene , Graells Tiscar , Cousins Melanie , Henriksson Patrik JG , Harbarth Stephan , Carson Carolee A. , Majowicz Shannon E. , Troell Max , Parmley Jane E , Jørgensen Peter S , Wernli Didier 
Published: February 2021

Abstract
Background. Antimicrobial resistance (AMR) is among the most pressing One Health issues. While interventions and policies with various targets and goals have been implemented, evidence about factors underpinning success and failure of interventions in different sectors is lacking. The objective of this study is to identify characteristics of AMR interventions that increase their capacity to impact AMR. This study focuses on AMR interventions targeting E. coli.Methods. We used the AMR-Intervene framework to extract descriptions of the social and ecological systems of interventions to determine factors contributing to their success. Results. We identified 52 scientific publications referring to 42 unique E. coli AMR interventions. We mainly identified interventions implemented in high-income countries (36/42), at the national level (16/42), targeting primarily one sector of society (37/42) that was mainly the human sector (25/42). Interventions were primarily funded by governments (38/42). Most intervention targeted a low leverage point in the AMR system, (36/42), and aimed to change the epidemiology of AMR (14/42). Among all included publications, 55% (29/52) described at least one success factor or obstacle (29/52) and 19% (10/52) identified at least one success factor and one obstacle. Most reported success factors related to communication between the actors and stakeholders and the role of media, and stressed the importance of collaboration between disciplines and external partners. Described obstacles covered data quality, access to data and statistical analyses, and the validity of the results. Conclusions. Overall, we identified a lack of diversity regarding interventions. In addition, most published E. coli interventions were poorly described with limited evidence of the factors that contributed to the intervention success or failure. Design and reporting guidelines would help to improve reporting quality and provide a valuable tool for improving the science of AMR interventions.
Geographic Variation of Indigenous Hepatitis C Virus Subtypes 6g and 6w in an Endemic Area of Southern Taiwan
Authors: Tung Hung-Da , Lee Pei-Lun , Chen Jyh-Jou , Kuo Hsing-Tao , Sheu Ming-Jen , Cheng Chun-Ta , Chuang Tang-Wei , Pang Mai-Gio , Lin Cheng-Heng , Hou Chia-Yi , Tsai Hsin-Hua , Wu Li-Ching , Lee Chuan , Kao Hsu-Ju 
Published: February 2021

Abstract
Background and Aims: Hepatitis C virus (HCV) genotype (GT) 6 is the most genetically diverse GT and mainly distributed in Southeast Asia and south China but not Taiwan. Earlier studies showed the major GTs in Taiwan were GT 1b and GT 2 with very rare GT6 except in injection drug user and subtype 6a is the main GT 6 subtype among IDUs. Recently we reported a much higher prevalence (18.3%) of GT 6 in Tainan City, southern Taiwan. This study was designed to clarify the subtypes of GT 6 in this endemic area. Materials and Methods: A total 3022 (1343 men and 1679 women) HCV patients were enrolled. GT 6 subtypes were determined by sequencing of core/E1 and nonstructural protein 5B (NS5B) in 322 of 518 GT 6 patients. Results: The overall GT6 prevalence rate was 17.1% (518/3022) with higher prevalence districts located in northern Tainan. The major GT6 subtypes in Tainan were 6g (81.0%), followed by 6w (10.8%), 6a (7.5%), and 6n (0.7%).Conclusions: The high GT 6 prevalence in Tainan was mainly due to subtype 6g and 6w with characteristic geographic distribution, suggesting subtypes 6g and 6w could be indigenous in Tainan for centuries.