bluuebunny/crossref_metadata_2025_split huggingface dataset:
The P-µ-T Cubic Equation of Viscosity for Reservoir Oils
Authors: Mishra Akshaya Kumar , Jhalendra Rajak Kumar , Kumar Ashutosh 
Published: January 2023

Summary
Oil recovery simulation sensitivity increases with heavier oils for the existing viscosity models, driving into higher levels of difficulty when fitting viscosity data for rising oil heaviness, particularly below the saturation pressure. Keeping in view the similarity of trends of viscosity and density with isothermal pressures for reservoir oils, the P-μ-T cubic viscosity model, which was developed for pure hydrocarbon components, was extended to reservoir oils. Two parameters in the P-μ-T cubic viscosity model for mixtures with pure and pseudocomponents are identified for adjusting the viscosity data fitting: Kc for controlling the viscosity gradient with pressure and the “ε” shifting trends for increasing viscosity direction. These two parameters are treated as the adjustable parameters required for fitting the viscosity data.
A total of 129 reservoir oils from different sources are used to validate the reliability of the P-μ-T viscosity model. The default model (where ε and Kc are 1 and 45, respectively), extended to 71 light oils, resulted in 31% of average absolute relative deviation (AARD) in viscosity prediction. However, separate adjusted parameters are obtained per oil for more accurate viscosity data fitting. Application of the model in this work results in (post-fitting) AARD% of 2.86% average for 36 low-viscosity oil data, 5.68% for 9 high-viscosity oil data, 9% for five oil blends, and 4.11% for bitumen blends. The model gives an AARD of 3.06% in the undersaturated region and 3.79% in the saturated region for the oil considered. The model predicts better the viscosity above saturation pressure for low-viscosity oils and below saturation pressure for high-viscosity oils. A comparative analysis of the P-μ-T cubic viscosity model vs. other models demonstrates its ability to successfully capture viscosity trends of oil and blends in all viscosity ranges. For simplicity, the P-μ-T cubic viscosity model is proposed with only two optimizing parameters even though using a third parameter improves the matching in heavy oils.
Moderating effect of fossil energy dependence on the mediating effect of financial development on CO2 emissions: Evidence from China's provincial panel data
Authors: ZHANG Jinwen , HE Fengjun , LIU Wanjun 
Published: January 2023

Abstract
In this paper, we expand the debate on the impact of financial development on China's CO2 emissions by introducing fossil energy dependence. This paper empirically studies a moderated mediating mechanism using panel data from 30 provinces in China during the 2000-2017 period. Our results show a significant inverse U-shaped (i.e., non-linear) relationship between financial depth and CO2 emissions. We also find that the intermediary effect of economic scale increases emissions by an amount that exceeds the emissions-reducing effects of technological innovation and industrial structure upgrading. Consequently, the emissions reduction effect of financial depth through the intermediary is still non-green. Additionally, we determine that the effect of financial depth on CO2 emissions varies according to fossil energy dependence. Over-reliance on fossil fuels for energy weakens the mediating roles of technological innovation and industrial structure upgrading in financial emissions reduction but intensifies the role of the economic scale to promote emissions. We conclude by illustrating the policy implications of green credit guiding the green allocation of traditional finance and the optimization of energy structure.
Coronary Flow Rate Adds Predictive Capability for FFR Assessment
Authors: Miller Jacob , White John , Hashemi Javad , Ghafghazi Shahab , Berson R. Eric 
Published: January 2023

Abstract
A non-invasive risk assessment tool capable of stratifying coronary artery stenosis into high and low risk would reduce the number of patients who undergo invasive FFR, the current gold standard procedure for assessing coronary artery disease. Current statistic-based models that predict if FFR is above or below the threshold for physiological significance rely completely on anatomical parameters, such as percent diameter stenosis (%DS), resulting in models not accurate enough for clinical application. The inclusion of coronary artery flow rate (CFR) was added to an anatomical-only logistic regression model to quantify added predictive value. Initial hypothesis testing on a cohort of 96 coronary artery segments with some degree of stenosis found higher mean CFR in a group with low FFR < 0.8 (µ = 2.37 ml/s) compared to a group with high FFR > 0.8 (µ = 1.85 ml/s) (p-value = 0.046). Logistic regression modeling using both %DS and CFR (AUC = 0.78) outperformed logistic regression models using either only %DS (AUC = 0.71) or only CFR (AUC = 0.62). Including physiological parameters in addition to anatomical parameters are necessary to improve statistical based models for assessing high or low FFR.
Tacrolimus maintains the balance of NETs by inducing DNA methylation of neutrophils to reduce immune rejection
Authors: Xu Liang , Cai Ming 
Published: January 2023

Abstract
Background

The immune rejection is a major concern in organ transplantation and can cause damage to the transplanted organ and ultimately lead to its failure. To prevent or treat immune rejection, transplant recipients are typically given immunosuppressive drugs to suppress their immune system. Tacrolimus is an immunosuppressive drug that is commonly used to prevent or treat immune rejection in organ transplantation. NETs formation and function in innate immunity and inflammation. NETs play an antimicrobial role, but excessive NETs are harmful and can cause inflammation and tissue damage.

Methods

To clarify the mechanism by which tacrolimus suppresses immune rejection, we used HL-60 cells, induced them to become neutrophils with DMSO, and then induced NETs with PMA. By comparing the changes before and after treatment with tacrolimus, we elucidated whether tacrolimus can change NETs formation.

Results

In this experiment, we found that tacrolimus can increase DNA methylation, which may be an important reason for the reduction of NETs by tacrolimus, as DNA methylation can stabilize DNA structure, making DNA better able to maintain its own structure. More research is needed to fully understand the relationship between DNA methylation, NETs formation, and immune rejection in organ transplantation, and to determine the potential therapeutic use of drugs that modulate DNA methylation or NETs.

Conclusions

In conclusion, we have found for the first time that tacrolimus can inhibit the production of NETs by enhancing the DNA methylation of cells, thereby exerting a better immunosuppressive effect. This may be a new mechanism for tacrolimus. We use this mechanism to provide new guidance for clinical research and immunosuppression and rehabilitation in the process of organ inhibition.
Early induction of anti-Spike binding antibodies and T cells confer protection against COVID-19 in children during an Omicron wave
Authors: Zhong Youjia , Chan Kuan Rong , Tay Carina , Chia Zi Wei , Li Hui’ En , Siriphanitchakorn Tanamas , Ong Eugenia , Leong Yan Shan , Kang Alicia , Chua Regena , Yap Gaik Chin , Huang Chiung-Hui , Lim Joey , Tan Anthony , Low Jenny , Shek Lynette , Tham Elizabeth , Ooi Eng Eong 
Published: January 2023

Abstract
For improved safety, children are vaccinated with a lower dose and extended interval for mRNA COVID-19 vaccines; however, whether there is protection before dose 2 is unknown. We recruited 113 children receiving BNT162b2 primary vaccination during an Omicron wave. After dose 1, 96% had detectable anti-Spike(S) IgG and 100% had S-reactive T cells; those with both had a lower risk of symptomatic infection compared to those with undetectable anti-S IgG [RR 0.19 (95% CI; 0.06, 0.59)]. This suggests that dosing can be extended without risk of insufficient early protection.
Invasive Grass and Honeybees Alter Plant-pollinator Network Structure in the Brazilian Caatinga
Authors: Carmo Rodrigo F R , Carvalho Cássio H , Gusmão Reginaldo A S , Alencar Lucas F C S , Vizentin-Bugoni Jeferson , Gonçalves-Souza Thiago 
Published: January 2023

Abstract
Invasive species are one of the most important threats to ecosystems. While invasive plants can interact directly with native pollinators, wind-pollinated grasses can also indirectly affect plant-pollinator networks by changing plant and animal community composition and, ultimately, decreasing ecosystem functioning. Here, we investigated the effect of invasive grass on pollinator richness, visitation number, and the structure of plant-pollinator networks. Further, we tested the impact of the non-native honeybee on pollinator richness, visitation number, and network structure in the Caatinga. Invasive grass negatively affected native pollinators and reduced visitation number on native plants. The dominance of the invasive grass increase plant competition, which led to an increased of niche overlap among native pollinators but did not affect the number of visits by non-native honeybees. However, increase in visitation number by honeybees reduced native pollinator richness by 60%. Our findings suggest a negative potentialized effect of invasive grass and non-native honeybee on the native plant-pollinator dynamics. The invasive grasses reduce the number of pollinators visits indirectly through changes in plant community composition that may reduce the attractiveness of patches dominated by invasive grasses. Honeybees were not affected by the invasive grass but reduced the richness of native pollinator species and the number of visits they perform, suggesting an important effect of biological invasion on ecosystem resilience. Our research helps to understand how invasive species, directly and indirectly, impact the plant-pollinator interactions and his influence on ecosystem functioning in abandoned lands in dry semiarid ecosystems.
Extractivism and production chain system of Açai in the middle Solimões River (Amazon region)
Authors: Yamaguchi Klenicy Kazumy de Lima , Peres Eldrinei Gomes , Silva Jadyellen Rondon e , Souza Anderson Oliveira 
Published: January 2023

Abstract

Açai fruit cultivated in the middle of the Solimões river is responsible for a large proportion of the farm economy in the Amazon region. However, less was described in the production chain, extraction, and market involving these species in Amazon. This study aims to show data on the extractivist and production chain system of the Amazonian açai, Euterpe precatoria, and Euterpe oleracea sold in the countryside of the Middle Solimões (Coari, Codajás, Tefé, and Alvarães). Therefore, a cross-sectional study with qualitative and quantitative approach has been executed using. Questionnaires and non-formal interviews with açai producers and traders. The results show that açai marketing is responsible for the main source of income for families in rural and riverside areas. The price depends on seasonality (the season of the river flood and drought) and productivity. E. precatoria stands out from E. oleracea due to sensory characteristics and yield. The importance of the production and trade of açai for the local development and economy and the need for public government subsidies for the production chain and creation of agricultural cooperatives and farmers organizations.
Autosomal dominant polycystic kidney disease in Colombia
Authors: Camargo Jessica T , Gonzalez Camilo A , Herrera Lina , Yomayusa Nancy , Ibañez Milciades , Valbuena-García Ana M , Acuña-Merchán Lizbeth 
Published: January 2023

Abstract

Background:
Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic cause of chronic kidney disease (CKD) that requires dialysis. Knowing geographical clusters can be a critical point for early diagnosis, progression control and genetic counseling. The objective was to establish the prevalence, geographic location, and racial distribution of patients with ADPKD who underwent dialysis or kidney transplant in Colombia between 2015 and 2019.
Methods:
Cross-sectional study with data from the national registry of chronic kidney disease (NRCKD) managed by the High Cost Diseases Fund (Cuenta de Alto Costo [CAC] in Spanish) between July 1, 2015, and June 30, 2019. Colombian residents who reported with CKD with or without renal replacement therapy (RRT) due to polycystic kidney disease were included. Crude and adjusted prevalence rates were estimated by state and city.
Results:
The ADPKD period prevalence was 9.81 per 100,000 people, there were 4.35 cases of RRT per 100,000 people, mean age 52.58 years (±13.21) and 52.78% women. Seventy-six patients were Afro-Colombians, 6 indigenous and 1 gypsy. A total of 46.07% began scheduled dialysis. The highest adjusted prevalence rate was in Valle del Cauca (6.55 cases per 100,000 people), followed by Risaralda, La Guajira and Amazonas. Regarding cities, Cali had the highest prevalence rate (9.38 cases per 100,000 people), followed by Pasto, Medellin and Bucaramanga.
Conclusions:
ADPKD prevalence is lower compared to Europe and USA, some states with higher prevalence will be objective to genetic prevalence study.
Predicting Human Exchange Decision-Making with Theoretically Informed Data and Machine Learning
Authors: Igwe Kevin , Durrheim Kevin 
Published: January 2023

Abstract
Artificial agents that can predict human decisions in social exchange contexts can potentially help to facilitate cooperation and promote prosocial behaviours. Modelling human decision-making is difficult in social exchange contexts where multiple contending motives inform decisions in rapidly evolving situations. We propose a mixed Theory and Data-Driven (TD2) model that is comprised of three modules: (1) a clustering algorithm that identifies strategies in interactive social exchange contexts (2) an artificial neural network that classifies an exchange decision into one of the identified strategies based on empirically defined motives and the observable differences during social exchanges, and (3) a hidden Markov model that predicts situated human decisions based on the strategies applied by humans over time. The TD2 decision-making model was trained and tested using 7,840 exchange data from "minimal group" experimental exchange games in which decisions were motivated by group ties, wealth aspiration, and interpersonal ties. The model was able to classify behaviours with 95% accuracy. Reciprocity, fairness and in-group favouritism were predicted, as separate decisions, with accuracies of 81%, 57% and 71% respectively. The performance of the model improved over time. Future work will evaluate the model in a live experiment involving Human-Agent Cooperation (HAC).
Influence of Silicon Carbide Nano Fillers on the Thermal, Mechanical and Shape Memory Properties of Tpi Shape Memory Polymer Composites
Authors: Loganathan Prabhu , Vairamuthu Selvakumar , Anderson A , Chinnathambi Dhavamani 
Published: January 2023

Abstract
TPI, also known as artificial eucommia rubber, is a thermo-responsive SMP created by molecular recombination and modification with contemporary polymer synthesis and modification techniques. In this paper, TPI shape memory polymer is reinforced with different weight proportions (0, 0.2 %, 0.4 %, 0.6 %, 0.8 % and 1 %) of Silicon carbide nano particles (SiC) and specimens were fabricated with the aim of enhancing the properties of neat TPI polymer composites. Some thermo-mechanical characteristics were investigated and interpreted, including the differential scanning calorimeter (DSC) test, dynamic mechanical analysis (DMA) test, thermal conductivity test, compression test, and a few shape memory properties such as shape recovery ratio and shape recovery rate. TPI shape memory polymers exhibit strong shape memory capabilities and the best mechanical properties based on the testing results for the specimen TPI with 0.8 % SiC weight fraction.
Primary pelvic synovial sarcoma: case report and review of the literature
Authors: Xiao Kaibing , Yang Ying , Li Zhiwei , Yang Pang 
Published: January 2023

Abstract
Background
Synovial sarcoma originating in the pelvis is an extremely rare malignancy, and only a few cases have been reported. Usually, the tumor is detected at an advanced stage, making treatment more difficult.
Case presentation
We admitted a 32-year-old male patient with MRI suggestive of an 8.2*7.7*8.9-cm mass in the pelvis with bleeding. After comprehensive evaluation, aggressive surgical treatment was performed, and postoperative pathology suggested biphasic synovial sarcoma, which was treated with regular chemotherapy in the oncology department. Ten months later, the patient was found to have recurrence of the tumor at the follow-up examination, and the patient is still alive.
Conclusion
Synovial sarcoma, a highly malignant soft tissue sarcoma, and primary intrapelvic synovial sarcoma is even rarer, with a poor prognosis. Ultrasound, CT and MRI can help specialists to detect the tumor at an early stage and treat it aggressively, especially by active surgical treatment, which can effectively improve the survival rate. Combined with the course of diagnosis and treatment of this case, it is possible to deepen the understanding of primary pelvic synovial sarcoma and discuss appropriate treatment strategies for this rare disease.
Cone-Beam Computed Tomographic Analysis of Maxillary Sinus Septa among Yemeni Population A Cross-sectional study
Authors: Altayar Bassam A. , Al-Tayar Barakat , Lin Weimin , Al-wesabi Saddam N. , Al-shujaa Eissa A. , Sakran Karim , Yuan Quan , Lyu Mingyue 
Published: January 2023

Abstract
Background
Maxillary sinus septa increase perforation risk of Schneiderian membrane during the sinus floor elevation (SFE). Cone Beam Computed Tomography (CBCT) allows for a more precise assessment of the septal position; thus, preoperative CBCT analysis is substantial to avoid possible complications. This study aims to investigate the 3D characteristics of the maxillary sinus septa based on CBCT images. To our knowledge, no study reported the CBCT-based investigation for the sinus septa among Yemeni population.
Materials and Methods
This is a retrospective cross-sectional analysis of 880 sinus CBCT images 440 patients. The septa prevalence, locations, orientations, morphology, and associated factors were analyzed. The effect of age, gender, and dental status on the sinus septa and the relationship between sinus membrane pathology and sinus septa were also analyzed. Anatomage (Invivo version 6) was used for CBCT images analysis. Descriptive and analytical statistics were performed, and a P-value < 0.05 was significantly considered
Results
The maxillary sinus septa were found among 63.9% of patients and 47% of sinuses. The average septa height was 5.2 mm. 15.7% of patients had septa in the right maxilla, 18% in the left, and 30.2% in both. Gender, age, and dental condition had no influence on the presence of septa, and septa presence did not influence sinus membrane pathology. Many septa originated from the floor (54.5%), located in the middle (43%), with coronal orientation (66%) and complete configuration (58.2%).
Conclusion
Based on our findings, the septa prevalence, locations, orientations, and morphology were significant and equivalent to the highest recorded in the literature yet. Thus, when sinus floor elevation is planned, CBCT imaging of the maxillary sinus is recommended for safe dental implantation.
Design of Submerged Air-intake for Uav Application
Authors: Tanna Kishan , Shah Niyati , Bommoju Vinay Kumar 
Published: January 2023

Abstract
The design approach and performance analysis of a custom s-duct submerged inlet are presented in this paper for a stealth subsonic swept-back Unmanned Aerial Vehicle (UAV). The UAV must provide good efficiency in a wider range of operating conditions. The duct is designed in such a way that it is the best compromise between the fuselage-engine framework and should provide maximum pressure recovery. Important geometric parameters of the s-duct inlet consist of a length-to-engine diameter ratio of 5.18, an offset-to-length ratio of 0.12, and an area ratio of 1.89. A review of fundamental concepts and the design process is presented to provide a foundation for future design iterations. METACOMP CFD++ software has been used to analyze the inlet design performance. Pressure recovery and circumferential total pressure distortion are used to analyze inlet performance at zero incidence angle.
Soot emissions of mutually synchronized candle flames
Authors: Balasubramaniyan Manikandan , Gaur Nikhil , T Kannan B 
Published: January 2023

Abstract
The evolution of soot particles from steady flames is relatively well explored compared to the evolution of soot particles from oscillating flames. Therefore, the present study aims to characterize soot particles' size evolving from self-excited oscillating flames, which are produced from the burning of two bundles of candles (4 candles/bundle). When two self-excited oscillating flames interact at various separation distances, they exhibit different modes of synchronization, namely in-phase synchronization (IP), amplitude death (AD), and anti-phase synchronization (AP). We captured the time-resolved flame images of synchronization modes using a digital camera and found that the AD mode represents the steady flames, whereas the IP and AP modes represent the symmetric and asymmetric oscillating flames, respectively. We measured the flame height and area for both the steady and oscillatory flames and found that the mean flame height is nearly invariant for all the flame modes, whereas the mean flame area exhibits significant variations among each synchronization mode. By using the Dynamic Light Scattering (DLS) technique, we measured the diameter of soot particles, and the results show that the smallest soot particles (78 nm) are produced at steady flames compared to their oscillatory flames counterparts. On comparing oscillatory flames, the symmetrically oscillating IP mode produced larger-sized soot particles (129 nm) compared to the asymmetrically oscillating AP mode (102 nm).
Molecular Characteristics, Clinical Significance, and Cancer Immune Interactions of Angiogenesis-Associated Genes in clear cell renal cell carcinoma
Authors: Wang Zijie , Liu Junxiu , Zhang Xiaofei , Zhang Yuhao , Zhang Tianwei , Xu Shang , Jiao Wei , Jiao Xuefei 
Published: January 2023

Abstract
Background: Immunotherapy have developed into important options for the treatment of various cancers. Angiogenesis is an important behavior in cancer, however, we do not yet know the relationship between angiogenesis and clinical outcome and immune infiltration in clear cell renal cell carcinoma (ccRCC).
Methods: Based on the data from The Cancer Genome Atlas-Kidney renal clear cell carcinoma (TCGA-KIRC), we systematically evaluated 36 angiogenesis-associated genes (AAGs) and comprehensively identiﬁed the correlation between angiogenesis and transcriptional patterns, potential mechanisms, prognosis, and relationship with immunity in ccRCC. We applied the AAG_score to quantify individual patient subtypes of angiogenesis.
Results: We investigated AAG mutations in ccRCC samples at genetic level. We determined two different molecular subtypes and observed that they correlate with prognosis. Next, an AAG_score for predicting overall survival (OS)was established. Furthermore, we built a highly reliable nomogram model by using AAG_score and other clinical variables and evaluated the performance of the model. Last, we found the difference in tumor microenvironment (TME) between two AAG_score groups.
Conclusion: We constructed the AAG_score for predicting the prognosis of ccRCC patients, which contributes to the understanding of the impact of angiogenesis on immunotherapy in ccRCC patients and helps to improved immunotherapeutic strategies.