bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synergistic in vitro Antiviral Effect of Combinations of Ivermectin, Essential Oils and 18-(Phthalimid-2-yl)ferruginol Against Arboviruses and Herpesvirus
Authors: Betancur-Galvis Liliana , Jimenez-Jarava Orlando José , Rivas Fatima , Mendoza-Hernández William E , González-Cardenete Miguel A 
Published: October 2023

Combining antiviral drugs with different mechanisms of action can help prevent the development of resistance by attacking the infectious agent through multiple pathways. Additionally, by using faster and more economical screening methods, effective synergistic drug candidates can be rapidly identified, facilitating faster paths to clinical testing. In this work, a rapid method was standardized to identify possible synergisms from drug combinations. We analyzed the possible reduction of antiviral effective concentration of drugs already approved by the FDA, such as ivermectin (IVM), ribavirin (RIBA) and acyclovir (ACV) against Zika virus (ZIKV), Chikungunya virus (CHIKV) and herpes virus type 2 (HHV-2). Essential oils (EOs) were also included in the study since they have been reported for more than a couple of decades to have broad-spectrum antiviral activity. We also continued studying the antiviral properties of one of our patented molecule with broad-spectrum antiviral activity, the ferruginol analogue 18-(phthalimid-2-yl)ferruginol (phthFGL). In general, the combination of IVM, phthFGL and Oregano EO showed the greatest synergism potential against CHIKV, ZIKV and HHV-2, obtaining a reduction in the EC99 value of up to ~8, and ~27, and ~12-fold for CHIKV, in example, respectively. The ternary combination RIBA, phthFGL, Oregano EO was slightly more efficient than the binary combination RIBA/phthFGL but much less efficient than IVM, phthFGL, Oregano EO which indicates that IVM could contribute more to the differentiations of cell targets (for example by inhibition of host heterodimeric importin IMP α/β1 complex) than ribavirin. PhthFGL showed a good pharmacokinetic profile.
Role of rs873601 Polymorphisms in Prognosis of Lung Cancer Patients Treated with Platinum-Based Chemotherapy
Authors: Zou Ting , Liu Jun Yan , Qin Qun , Guo Jie , Zhou Wen Zhi , Li Xiang Ping , Zhou Honghao , Chen Juan , Liu Zhao Qian 
Published: October 2023

Background: Lung cancer is still the most lethal malignancy in the world from the report of Cancer Statistics in 2021. Platinum-based chemotherapy combined immunotherapy is the first-line treatment in lung cancer patients. However, the 5-year survival rate always affected by the adverse reaction and drug resistance caused by platinum-based chemotherapy. DNA damage and repair system is one of the important mechanisms which can affect the response to chemotherapy and clinical outcome in lung cancer patients.
Objective: The objective of this study is to find the relationship between the polymorphisms of DNA repair genes with the prognosis in platinum-based chemotherapy in lung cancer patients.
Patients and Methods: We performed genotyping in 17 single nucleotide polymorphisms (SNPs) of Excision Repair Cross-Complementation group (ERCC) genes and X-ray Repair Cross-Complementing (XRCC) genes of 345 lung cancer patients by Sequenom MassARRAY. We used Cox proportional hazard models, state and plink to analyze the associations between SNPs and the prognosis of lung cancer patients.
Results: We found that the ERCC5 rs873601 was associated with the overall survival time in lung cancer patients treat by platinum-based chemotherapy (p=0.031*). We also discovered that the polymorphisms in rs873601 was significantly associated with the prognosis in age more than 55 years, Small Cell Lung Cancer (SCLC) and smoking patients, Long Intergenic Non-protein Coding RNA (PNKY) rs2444933 in age less than 55 years, SCLC, metastasis and stage III/IV/ED patients, Short Tau Inversion Recovery (STIR1) rs3740051 in SCLC and metastasis patients, PNKY rs1869641 in SCLC patients, XRCC5 rs1051685 in non-metastasis patients, respectively.
Conclusion: The ERCC5 rs873601(G&gt;A) maybe a valuable biomarker for predicting the prognosis in lung cancer patients treated with platinum-based chemotherapy.
Statements and Declarations: The authors declare that they have no conflict of interest.
Bedside ultrasound assessment of venous congestion by VExUS protocol in heart failure: clinical associations and prognostic value
Authors: Kobalava Zh. D. , Aslanova R. Sh. , Safarova A. F. , Vatsik-Gorodetskaya M. V. 
Published: October 2023

Aim. To evaluate the frequency, dynamics, clinical associations and prognostic value of venous congestion at bedside ultrasound using VExUS protocol in patients with decompensated heart failure (HF).Material and methods. This prospective study included 273 patients over 18 years old with NYHA class II-IV decompensated HF. All patients underwent standard clinical and paraclinical analysis, including NT-proBNP determination, transient elastometry and lung ultrasound. To assess venous congestion by bedside ultrasound using the VExUS protocol, the inferior vena cava (IVC) diameter was estimated and the congestion severity was determined on the deviation of Doppler curves of hepatic, portal and renal veins. If the IVC diameter was ≥2 sm, venous congestion was determined. To assess pulmonary congestion, lung ultrasound (LUS) was performed according to the 8-zone protocol, and the sum of B-lines ≥5 was taken as pulmonary congestion. All patients received standard therapy for heart failure. Statistical analysis was performed in SPSS Statistics program, version 26.0.Results. A high detection rate of venous congestion (75,8%) was revealed in patients with decompensated HF on admission at bedside ultrasound examination according to the VExUS protocol: mild – in 35,5%, moderate – in 12,8%, severe – in 27,5% of patients. The detection rate of venous congestion at discharge was 48,7%: mild – in 28,2%, moderate – in 9,5%, and severe – in 11,0% of cases. Pulmonary congestion on admission was detected in 98,9% of cases. Venous congestion was associated with the severity of HF, NT-proBNP level, renal and cardiac dysfunction, liver stiffness and sum of B-lines. The prognostic role of venous congestion according to the VExUS protocol on re-hospitalization for decompensated HF and the combined endpoint (hospitalization for decompensated HF + allcause death) at 12 months was established.Conclusion. The established incidence, associations, and prognostic value of venous congestion in patients with decompensated HF suggest the utility of bedside ultrasound using the VExUS protocol as an available noninvasive method to optimize therapy and risk stratification.
Biomarkers in predicting mortality from cardiovascular events in patients with heart failure and an implanted cardioverter-defibrillator
Authors: Ilov N. N. , Petrova O. V. , Tverdokhlebova D. K. , Karimov I. R. , Nechepurenko A. A. , Boytsov S. A. 
Published: October 2023

Aim. To study the role of blood biomarkers in predicting death from cardiovascular events in patients with heart failure with reduced ejection fraction (HFrEF) within one year after cardioverter defibrillator (ICD) implantation.Material and methods. This one-center observation study included 384 HFrEF patients (men, 84%, NYHA class III – 74%, NYHA class IV – 7%), who underwent prospective observation for 1 year after ICD implantation. The study of the original panel of modern biomarkers (blood electrolytes, C-reactive protein, creatinine, soluble growth stimulation expressed gene 2 (sST2), N-terminal pro-brain natriuretic peptide (NT-proBNP), galectin-3), allowing to evaluate HF pathogenesis was conducted. Based on the blood creatinine concentration, the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula was used to estimate the glomerular filtration rate (GFR).Results. In a one-year observation, the primary endpoint was recorded in 35 patients (11%). Single-factor logistic regression showed 3 biomarkers with the greatest predictive potential (p<0,01), related to the occurrence of the investigated endpoint. The concentration of potassium and NT-proBNP, the GFR (CKD-EPI) was included in the multi-factor predictive model with diagnostic efficiency of 68% (sensitivity of 60%, specificity 71%). It was shown that the cardiovascular death risk increased by 2,64 (OR=2,64; 95% CI: 1,28-5,46; p=0,007) at GFR <60 ml/min/1,73 m2 and increased by 3,32 (OR=3,32; 95% CI: 1,26-8,73; p=0,012) at NT-proBNP >2000 pg/ml.Conclusion. The study of blood biomarkers is promising and in demand for the prediction of adverse outcomes of HF. According to the data obtained, the factors «GFR <60 ml/min/1,73 m2» and «NT-proBNP >2000 pg/ml» may be relevant for one-year mortality prediction.
Evaluation of CO2 and Slickwater Fracturing for the Burgos Basin of Mexico
Authors: Silva-Escalante C. F. , Camacho-Velazquez R. G. , Gómora-Figueroa A. P. , Sharma Mukul M. 
Published: October 2023

Abstract
This work aims to evaluate the fracture geometry and production scenarios comparing several fracturing fluids, such as slickwater and carbon-based fracturing fluids (CBFF), including two binary mixtures as approximations to anthropogenic CO2 resulting from carbon capture (oxyfuel, pre-combustion, and post-combustion). Reservoir flow modeling simulations show that CBFF is the best potential waterless fracturing fluid option for fracturing unconventional shale reservoirs in the Burgos Basin.
We conducted fracturing simulations to obtain the fracture geometry resulting from pure CO2, gelled CO2, foamed CO2, as well as the binary mixtures CO2 (95% mol)-N2 (5% mol), and CO2 (95% mol)-H2 (5% mol) and compared the results to conventional slickwater fracturing. Data and information for this study come from a gas well in the Burgos Basin in Mexico. A compositional fracturing simulation model is used to obtain the fracture geometry and the conditions under which the CO2 fracturing would be optimal based on a sensitivity analysis of the critical parameters described in this work. We created a reservoir simulation model to generate production scenarios and compare the well performance of wells fractured with pure CO2 and slickwater. The impact of water blockage effects on well productivity is shown to be important.
Results show that pure CO2, CO2-N2, and CO2-H2 create fracture geometries that are similar to slickwater fracturing. Pure CO2 provides the highest production due to the absence of water blockage effects. Other carbon-based fracturing fluids also represent an opportunity for implementing CO2 to optimize well performance reducing water blockage and water consumption for sustainably fracturing conventional and unconventional reservoirs.
A New Milestone in Open-Hole Gavel Pack (OHGP): World's First Managed Pressure Alternate Path OHGP with a Novel Oil-Based Gravel Pack Carrier Fluid
Authors: Gadiyar Bala , Randall Drake , Beldongar Maye , Tidwell Colton , Manzoleloua Cedric , Zhang Hui, Joyce , Derkach Ed , Campbell Patrick , Vo Loan , Anderson Tom , Oyler Ken , VanZanten Ryan 
Published: October 2023

Abstract
Open-hole gravel packing (OHGP) with or without alternate path technology is a common completion technique in wells requiring sand control. Prior to this paper, there has been no application of managed pressure alternate path OHGP and use of an oil-based gravel pack carrier fluid. In addition, the location was remote which made it even more challenging. This paper discusses laboratory evaluation of the carrier fluid, yard test qualification, fluid management plan/logistics, job design, and execution.
The fluid requirements in terms of density and temperature were 9.7 ppg and 115°F, respectively. The fluid had to pass the following tests a) rheology b) sand settling and c) Production Screen Tester to ensure the fluid does not plug the screens during the job.
Due to the location being remote with no mixing facilities, the fluid was mixed several months prior to the job in the US and shipped to location. A stringent fluid QA/QC plan was implemented to ensure fluid quality was maintained during transit and while in storage at location.
The job planning included simulations, several pre-job meetings, fluid management plan, modification to lower completion, etc. The job was executed flawlessly as per procedure outlined during pre-job meetings.
The fluid evaluation work took 6 months due to extensive testing requirements and all key criteria were met. There were no technical or operational issues with fluid mixing during the SIT and for the job. All pumping equipment plus fluid functioned as expected. Gravel pack carrier fluid management was critical to the job success hence the fluid was stored in marine portable tanks (MPT) to prevent any contamination. The fluid properties did not change from the time of mixing till the job execution which was over 4 months.
Surface back pressure technique was used to manage pressure while running in hole (RIH) the lower completion and during gravel pack operations. The lower completion was RIH to target depth without any problems. Gravel pack pumping operations was smoothly executed by pumping the job at designed pump rate and achieving a complete pack. Post gravel pack the well was flowed back and a successful well test was performed.
Industry first successful field case study of managed pressure alternate path OHGP using a novel oil-based gravel pack carrier fluid is presented.
Evaluating the Impact of Biochemical Reactions on H2 Storage in Depleted Gas Fields
Authors: Maniglio Marco , Rivolta Giacomo , Elgendy Ahmed , Panfili Paola , Cominelli Alberto 
Published: October 2023

Abstract
Underground Hydrogen Storage (UHS) is an emerging technology to store energy, produced by renewable sources, into subsurface porous formations. UHS efficiency in depleted gas reservoirs can be affected by H2 biochemical degradation due to interactions with rock, brine and gas. In the reservoir, subsurface microorganisms can metabolize H2 with possible hydrogen losses, H2S production, clogging and formation damage. In this work we investigate the impact of hydrogen losses due to microbial activities on UHS operations in depleted gas reservoirs lying in sandstone formations.
We developed a workflow to exploit the chemical reactive transport functionalities of a commercial reservoir simulator, to model biochemical processes occurring in UHS. Kinetic chemical reaction formulation was used to replicate a Monod's type microorganism growth, using PHREEQC to tune reaction parameters by matching a 0-D process in an ideal reactor. Then, we applied the methodology to evaluate the impact of biotic reactions on UHS operations in depleted gas fields. Eventually, various sensitivities were carried out considering injection/production cycles lengths, cushion gas volumes and microbial model parameters.
Benchmark against PHREEQC demonstrated that, by properly tuning the kinetic reaction model coefficients, we are capable of adequately reproduce Monod-like growth and competition of different microbial community species. Field-scale results showed that hydrogen losses due to biochemistry are limited, even though this may depend on the availability of reactants in the specific environment: in this work we focus on gas reservoirs where the molar fraction of the key nutrient, CO2, is small (&lt; 2%) and the formation is a typical sandstone. Operational parameters, e.g. storage cycle length, have an impact on the biochemical dynamics and, then, on the hydrogen degradation and generation of undesired by-products. Similar considerations hold for the model microbial growth kinetic parameters: in this study they were established using available literature data for calibration, but we envisage to tune them using experimental results on specific reservoirs. The current model set-up does not account for rock-fluid geochemical interactions, which may result in mineral precipitation/dissolution affecting the concentration of substrates available for biotic reactions. Nonetheless, it can provide an estimate of hydrogen consumption during storage in depleted gas reservoirs due to microbial activities.
This study is among the first attempts to evaluate the impact of hydrogen losses by the presence of in situ microbial populations during hydrogen storage in a realistic depleted gas field. The assessment was performed by implementing a novel workflow to encapsulate biochemical reactions and bacterial dynamic-growth in commercial reservoir simulators, which may be applied to estimate the efficiency and associated risks of future UHS projects.
Solution Gas/Oil Ratio Prediction from Pressure/Volume/Temperature Data Using Machine Learning Algorithms
Authors: Majid Asia , Mwakipunda Grant Charles , Guo Chaohua 
Published: October 2023

Summary
Many methods have been developed to determine the solution gas/oil ratio (Rs), starting with experiments, followed by empirical correlations establishments, and recently with machine learning applications receiving much interest due to their ability to produce precise results compared with empirical correlations. In this paper, the group method of data handling (GMDH) and the enhanced GMDH based on discrete differential evolution (GMDH-DDE) are used for the first time to estimate the Rs and to provide a correlation to the laboratory measured Rs from bubblepoint pressure (Pb), oil API gravity (API), gas-specific gravity (γg), and reservoir temperature (T) without crude oil properties. These two methods are compared with backpropagation neural networks (BPNN). The reason for using the hybrid GMDH (GMDH-DDE) is to overcome the drawbacks of the GMDH, such as the method used to calculate neuron weights (i.e., quadratic polynomial transfer function), which seems to have inaccuracies. Also, in selecting model inputs, the GMDH tends to choose the most appropriate inputs for the model; however, the selection criteria are not straightforward and may affect the final results. Furthermore, the GMDH has a multicollinearity problem, affecting model coefficient stability and overfitting problems, etc. A total of 420 data sets from the Mpyo oil field were used, with 70% used for training and 30% used for testing. According to the findings, the GMDH-DDE outperformed both the GMDH and BPNN. In comparison with the GMDH and BPNN, the GMDH-DDE has a higher correlation coefficient (R), lower root-mean-square error (RMSE), and lower mean absolute error (MAE). During training, R, RMSE, and MAE were 0.9849, 0.090, and 0.010, respectively, and during testing, R = 0.9603, RMSE = 0.290, and MAE = 0.017. The second-best technique (GMDH) produces R, RMSE, and MAE values of 0.9611, 0.122, and 0.032 in training, and R = 0.9438, RMSE = 0.349, and MAE = 0.055 in testing. Furthermore, the GMDH-DDE used less computational time (1.32 seconds) compared with the GMDH (2.01 seconds) and BPNN (4.96 seconds), proving that the GMDH-DDE has accurate and fast convergence compared with the GMDH and BPNN. These findings show that the GMDH-DDE and GMDH can be adopted as alternative methods for predicting the Rs.
Experimental Study on Dynamic Barite Sag and Effects of Inclination and Pipe Rotation
Authors: Fakoya Muili F. , Ahmed Ramadan 
Published: October 2023

Summary
Barite sag causes pressure fluctuations in the wellbore, which is undesirable. These problems usually occur with oil-based muds (OBMs; invert emulsion muds) and are associated with fluid properties and operation parameters. Drilling issues related to this undesirable phenomenon include wellbore instability, lost circulation, and stuck pipes. As barite sagging is a complex phenomenon, the mechanisms that cause and aggravate it still need to be fully understood to mitigate these problems.
This study examines barite sagging in the wellbore with inner pipe rotation to understand the process and develop prevention strategies. Thus, a flow loop study with OBM is conducted in a concentric annular test section with varying inner pipe rotation and inclination angles. The tests were performed at an elevated temperature (49°C) to simulate borehole conditions. By measuring the pressure profile in a mud sample trapped in the test section, barite sagging was evaluated. Using the data, we calculated the density difference between the top and bottom sections of the column. The novelty of the work lies in continuous monitoring of the density profile of the mud column, which is sheared between two coaxial cylinders to simulate drillstring rotation in the wellbore, and utilizing the data for evaluating barite sag.
The results show the evolution of the pressure profile with time, indicating the sagging of barite particles at the bottom of the test section. Due to barite sagging, the density of the top portion of the mud column decreased over time, while the density of the bottom part increased. The lateral sedimentation of barite particles toward the annulus outer wall enhances barite sag in inclined configurations. The sedimentation creates two suspension layers with different densities, leading to secondary flow, which enhances sagging. Hence, the primary factor driving barite sagging is inclination. An increase in inclination angle from 0° to 50° resulted in a significant (more than twofold) increase in mud density difference. Also, the rotation of the pipe delayed sagging during the early phases of the testing process (less than 20 minutes). However, it did not have much effect as the sagging progressed, resulting in approximately the same density difference in both cases (i.e., with and without rotation).
How to Share Information with Third Parties while Protecting User Privacy on Internet Platform
Authors: tian li 
Published: October 2023

Abstract
Internet have radically transformed how people live their lives, especially in the COVID-19 pandemic. People rely on various Internet platforms in daily life, such as e-commerce platforms, social media platforms, etc. With the time going, Internet platforms have accumulated more and more personal information about their users or customers. In order to improve user experience and increase their profits, Internet platforms are willing to open their interfaces to third parties and share users’ information with them. Internet platform gains revenue by providing services for users, the users get utility by Internet platform. At the same times, the third parties enhance users experience by providing diversity services, and gain revenue and users' data. However, such kind of sharing may infringe users’ privacy and then erode users’ trust, especially for those users with higher privacy concerns. This paper tries to find out how Internet platforms can walk a fine line between sharing users’ information and protecting their privacy. Firstly, we analysis the cost-benefit of stakeholders. Then, we propose a pyramid model that captures the interaction between the users, Internet platform, and third parties. Specifically, we focus on the influence of user privacy sensitivity on information sharing behavior of Internet platform. We construct a three-stage dynamic game model with complete information to obtain the threshold value of third parties under the equilibrium state. The result shows that unrestrained sharing of user’ information with third parties will bring negative effects for Internet platforms and finally reduce their profits. The most advantageous way is to develop differentiated privacy policies for users with different privacy preferences. Those users with higher privacy concerns can pay some membership fee to enjoy the service provided by an Internet platform without the disturbance from various third parties.