bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physics Guided Data Driven Model to Forecast Production Rates in Liquid Wells
Authors: Sinha Utkarsh , Zalavadia Hardikkumar , Sankaran Sathish 
Published: April 2023

Abstract
In the development of shale plays, significant emphasis has been laid on forecasting well performance based on rates and finding the expected ultimate recoveries. Specifically, forecasting producing gas-oil-ratio (GOR) over the long term has been problematic, given the complexities and uncertainties in modeling a muti-stage fractured horizontal well in the unconventional reservoir. In this work, we propose a hybrid model which is capable of accurately forecasting multiphase flow rates. The proposed hybrid forecasting modeling is an amalgamation of data-centric methodology blended with physics-based principles, using easily available inputs such as production rates, flowing pressure, and fluid properties. The proposed method is a two-step procedure – (1) detect the inflection point up to which the gas produced is only the solution gas using an automated trajectory detection procedure, imposing physics-based constraints (2), apply the material balance to calculate dynamic drainage volume, average reservoir pressure, and productivity index that are used to forecast well performance in the future. The proposed approach also handles changing artificial lift strategies and hence changing bottom hole pressure conditions, which is a practical consideration since most unconventional wells experience operational changes throughout their lifecycle. The automated trajectory detection procedure consistently captures the inflection point for all wells and is robust to scale for all well types. The history-matched multiphase flow model parameters are blind-tested to validate the model. The proposed technique extrapolates reservoir pressure depletion based on established trends to forecast GOR trends with reasonable accuracy at an extremely low computational cost. The proposed hybrid model overcomes (1) deficiencies of pure data-driven approaches, where changes in operating conditions are not properly represented and the forecasts are not physically consistent, (2) limitations of analytical models, where the assumptions are too many/strict to represent the real-life performance of a multifracture horizontal well, and (3) complexities of numerical simulation models, which are expensive, time-consuming and requires too many inputs for initialization. Additionally, the proposed hybrid model provides a robust and scalable method to identify future GOR trends to support the pace of operations and data-driven decision-making.
Submarine observation of 2011 Tohoku-oki Earthquake fault scarp in the Japan Trench
Authors: Ueda Hayto , Kitazato Hiroshi , Jamieson Alan , team Pressure 
Published: April 2023

Abstract
Rupture of the plate boundary fault during the 2011 Tohoku-oki earthquake (Mw 9.0) is thought to have propagated to the trench, where thrust ridges were formed. Surface exposure of the fault has not yet been confirmed because the trench seafloor extends to hadal depths (>6000 m water depth) that are challenging to access and study. Using a manned submersible in the Japan Trench we explored and visually assessed the seafloor near the epicenter, and found a 26 m high subvertical cliff regarded as the thrust fault scarp. The cliff consisted of elevated mud beds, and provided abundant mud block debris to lower slopes. Based on topography, observation of the outcrops, and mass balance analysis, we deduce ~120–130 m slip on the plate-boundary fault (décollement). Approximately 100–110 m of the slip occurred at the frontal thrust fault and the remaining 20 m included bulk shortening of sediment in front of the thrust fault. The estimated larger displacement in the trench than in more proximal parts can be attributed to extensional deformation of the wedge, locally occurred above a large relief (graben) on the subducting Pacific plate, as well as potentially lowered coseismic basal friction.
HDAC3 promotes macrophage pyroptosis via regulating histone deacetylation in acute lung injury
Authors: Li Ning , Liu Bohao , He Ruyuan , Li Guorui , Xiong Rui , Fu Tinglv , Li Donghang , Xu Chenzhen , Wang Bo , Geng Qing 
Published: April 2023

Abstract
Activated inflammation and pyroptosis in macrophage are closely associated with acute lung injury (ALI). Histone deacetylase 3 (HDAC3) serves as an important enzyme that could repress gene expression by mediating chromatin remodeling. Here, we aim to explore the role and potential molecular basis of HDAC3 in lipopolysaccharide (LPS)-induced ALI. We found that HDAC3 was highly expressed in lung tissues of LPS-treated mice and in LPS-induced macrophages. Lung tissues from macrophage HDAC3-deficient mice stimulated with LPS showed alleviative lung pathological injury and inflammatory response. HDAC3 silence by small interfering RNA (siRNA) significantly blocked the activation of cyclic GMP-AMP synthase (cGAS)/stimulator of interferon genes (STING) pathway while HDAC3 overexpression by adenovirus transfection significantly promoted the activation of cGAS/STING pathway and aggravated pyroptosis in LPS-induced macrophage. However, HDAC3 silence or overexpression at baseline showed no effects on the level of mitochondrial DNA (mt-DNA) and the activation of cGAS/STING pathway. But HDAC3 at baseline could change the mRNA and protein levels of cGAS. Additionally, autophagy or proteasome inhibition in LPS-induced macrophages transfected with Hdac3 siRNA did not affect the protein level of cGAS. Mechanistically, cGAS was a direct target gene of miR-4767 in macrophage. LPS could recruit HDAC3 and H3K9Ac to the miR-4767 gene promoter, which repressed the expression of miR-4767 by decreasing histone acetylation of the miR-4767 gene promoter. To this end, intratracheal administration of liposomes loaded with Hdac3 siRNA prevented mice from LPS-induced lung injury and inflammation. Taken together, our findings demonstrated that HDAC3 played a pivotal role in mediating pyroptosis in macrophage and ALI by activating cGAS/STING pathway through decreasing histone acetylation of the miR-4767 gene promoter. Targeting HDAC3 in macrophage may provide a new therapeutic target for the prevention of LPS-induced ALI.
Purification and characterization of pepsin enzyme from Scomberomorus commerson mackerel’s stomach by aluminum hydroxide, and improved its thermal stability by graphene oxide nanosheet
Authors: Shobar Seyed Reza , masoud rezaei , Naghdi Shahab , Moghadam Ahmad Taghavi 
Published: April 2023

Abstract
In the present study, pepsinogen enzyme was purified from the S. commerson viscera in 7 steps, including; (1) using a buffer containing NaCl and CaCl2, (2) Acidification, (3) precipitation by dried sulfate ammonium, (4) Aluminum hydroxide gel, (5) Saturated ammonium sulfate, (6) Gel filtration Sephadex G-50, and (7) Anion-exchange DEAE-cellulose. Purified pepsinogen converted into pepsin quickly at pH 2.0, and its optimum pH and temperature were 2, and 37 °C. Hence, ammonium sulfate with 67/5 % saturation showed the highest activity and protein precipitation. Besides, results showed that 18% Alum gel had the highest enzyme activity in the precipitate formed during dialysis. Furthermore, pepsin activity was stopped above 50 °C, but immobilized pepsin on GO-PEG maintained it up to a temperature of 65 °C. Purified pepsin was completely inactive in the presence of 0.1 M pepstatin A. Catalytic constants KM and kcat for proteolysis of acid-denatured hemoglobin were 35/39 ± 0.03 M, and 5.3 ± 0.002 × 10 -5 S-1, respectively. Finally, based on the obtained results, it can be suggested that the use of aluminum hydroxide gel and graphene oxide can be a suitable approach for purifying pepsin enzyme from fish viscera and improving their thermal stability.
Determinants of the optimal uptake of sulfadoxine-pyrimethamine doses for intermittent treatment of malaria in pregnancy in urban Nigeria
Authors: Adeojo Opeyemi Samuel , Fayehun Olufunke 
Published: April 2023

Abstract

Malaria is a major cause of child and maternal mortality in Nigeria, particularly in urban areas with increasing urbanization rates and slum development. Pregnant women and newborns are especially vulnerable to malaria. The use of Intermittent Preventive Treatment (IPTp) with Sulfadoxine-Pyrimethamine (SP) during antenatal care visits is an effective way to prevent malaria in pregnancy. This study, based on data from the 2015 Nigeria Malaria Indicator Survey, examined the uptake of IPTp-SP among 1159 urban women aged 15–49 across the six geopolitical zones in Nigeria. The study found that 67% of the women took SP/Fansidar during pregnancy, but the uptake of the recommended 3 or more doses of IPTp-SP was low. Only 39% of women took 3 or more doses, while 19% took only 1 dose and 42% took 2 doses. The study identified significant associations between IPTp-SP uptake and region and economic status (measured by wealth index), but not educational status. Binary logistic regression showed that region and economic status were significant predictors of IPTp use. The study recommends increasing awareness and promoting the use of IPTp-SP among urban women in Nigeria, particularly those in low-income regions. Empowering women socially and economically may also improve the uptake of IPTp-SP.
Application of Interactive information system in College Personnel Management by using BP Neural Network Algorithm
Authors: Minsheng Lou 
Published: April 2023

Abstract
The BP neural network algorithm has flexible modeling ability and data parallel processing ability. While processing data, it learns through self-learning and adaptive algorithms and associative functions. In the calculation mode of the bp neural network algorithm, the paper conducts forward conduction on the data signal, and conducts reverse conduction according to the obtained error value. The process of transferring the BP neural network algorithm content involved in the data from the input layer to the output layer under the data pattern formed by the forward guidance. And according to the analysis of BP neuron model data of three layers and above, the algorithm form of input layer and output layer is readjust, and the interval data is obtained and analyzed and summarized, so as to trigger the event research on the application of personnel management in colleges and universities. From the problem of university personnel management thoughts, to system flow numerical analysis as a starting point, starting from the present situation, the form of the personnel management of colleges and universities, this paper analyzed the characteristics of the personnel management at this stage, and the personnel management of colleges and universities ever form the difference, and according to the principle of summed up the characteristics of modern personnel management model, and analyzing the theory of knowledge, From the concept, logic and physical structure of data analysis and design, in the personnel management system of colleges and universities form an important direction of development.
Repurposing of Rutan showed effective treatment for COVID-19 disease
Authors: Salikhov Shavkat I. , Abdurakhmonov Ibrokhim Y. , Ziyavitdinov Jamolitdin F. , Oshchepkova Yuliya I. , Berdiev Nodir Sh. , Akber·Aisa Haji , Shen Jingshan , Xu Yechun , Xu Eric , Jiang Xiangrui , Zhang Leike , Vypova Natalia L. , Allaberganov Dilshod Sh. , Tagayalieva Nigora A. , Musabaev Erkin I. , Ibadova Gulnara A. , Rajabov Ilxom B. , Lokteva Lyubov M. 
Published: April 2023

Abstract

Previously, from the tannic sumac plant (Rhus coriaria), we developed the Rutan 25 mg oral drug tablets with antiviral activity against influenza A and B viruses, adenoviruses, paramyxoviruses, herpes virus, and cytomegalovirus. Here, our re-purposing study demonstrated that Rutan at 25, 50, and 100 mg/kg provided a very effective and safe treatment for COVID-19 infection, simultaneously inhibiting two vital enzyme systems of the SARS-CoV-2 virus: 3CLpro and RdRp. There was no drug accumulation in experimental animals' organs and tissues. A clinical study demonstrated a statistically significant decrease in the C-reactive protein and a reduction of the viremia period. In patients receiving Rutan 25 mg (children) and 100 mg (adults), the frequency of post-COVID-19 manifestations was significantly less than in the control groups not treated with Rutan tablets. The Rutan with combined 3CLpro and RdRp inhibitory activities should provide safe treatment and prophylaxis against COVID-19 in adults and children.
Thermal stability and fire safety of polycarbonate flame retarded by the brominated flame retardant and a non-antimony synergistic agent
Authors: Wang Bingtao , Ye Runfeng , Guo Zhenghong , Li Juan , Fang Zhengping , Ran Shiya 
Published: April 2023

Abstract
Aiming at developing a non-antimony synergistic agent of BFR and improving the high heat and smoke release of BFR due to its gaseous phase flame retardant mechanism, CeHPP was synthesized through hydrothermal reflux method and introduced into PC/DBDPO through melt blending. The morphology, chemical structure and thermal stability of CeHPP were characterized through SEM, FTIT and TG analysis, while the flame retardancy of PC/DBDPO/Sb2O3 and PC/DBDPO/CeHPP composites were compared and discussed in detail. To our delight, CeHPP showed more excellent synergistic effect with DBDPO than Sb2O3 in PC matrix. For PC/DBDPO/CeHPP (92/7/1, wt%), the sample was not ignited, the value of limited oxygen index (LOI) went up to 39.2% and it reached UL 94 V0 rating in vertical burning test, while the Izod impact strength, elongation at break and Young’s modulus were almost kept same with those of pure PC. Moreover, according to the cone calorimetry, CeHPP and DBDPO/CeHPP could efficiently suppress the heat and smoke release of PC composites, while DBDPO and DBDPO/Sb2O3 would accelerate the heat and smoke release during combustion The synergistic flame retardant mechanism verified that the char-barrier effect of CeHPP transferred the free-radical-trapping effect of BFRs from the gaseous phase to the condensed phase, which interfered the chain oxidation reaction of free-radicals and inhibiting the release and spread of gases and smoke.
The Role of 99m Tc-DPD Bone SPECT/CT in the Management of Growth Disturbance of the Long Bones in Pediatric Patients: A Retrospective Observational Study
Authors: Shin Chang Ho , Whi Wonseok , Cho Yoon Joo , Yoo Won Joon , Choi In Ho , Cheon Gi Jeong , Cho Tae-Joon 
Published: April 2023

Abstract
Backgrounds: Determining the precise localization of diseased physes is crucial for guiding the treatment of growth disturbances. Conventional radiography, computed tomography (CT), and magnetic resonance imaging only provide information on physeal anatomy. Planar bone scintigraphy and bone single-photon emission computed tomography (SPECT) resolutions are suboptimal for clinically managing growth disturbances. Bone SPECT/CT, which provides high-resolution functional information, can be a useful tool for evaluating growth disturbances. The purposes of this study were to identify the conditions in which bone SPECT/CT outperforms planar scintigraphy or SPECT for evaluating the location and activity of diseased physes and to assess surgical outcomes using bone SPECT/CT findings in pediatric patients experiencing long bone growth disturbances.
Methods: Fifty-nine patients who underwent bone SPECT/CT between January 2018 and January 2021 to evaluate physeal activity using technetium-99m-labeled 2,3-dicarboxypropane-1,1-diphosphonate (99mTc-DPD) were included. The proportions of patients for whom certain modalities provided sufficient data for selecting treatment plans for growth disturbances were compared based on the site of the diseased physis, growth disturbance cause, and shape of deformity (i.e., SPECT/CT vs. planar scintigraphy and SPECT/CT vs. SPECT). For assessing surgical outcomes, progression of post-surgical deformity was investigated by measuring the angles reflecting the degree of deformity, iliac crest height difference, or ulnar variance on radiographs.
Results: Bone SPECT/CT was sufficient for selecting a treatment plan, but planar scintigraphy or SPECT alone was insufficient in every 10 patients with diseased physes inside the femoral head (p=0.002) and in every six with physes that were severely deformed or whose locations were unclear on conventional radiography (p=0.03). In the proximal or distal tibia, where tibial and fibular physes often overlapped on planar scintigraphy due to leg rotation, bone SPECT/CT was sufficient in 33/34 patients (97%), but planar scintigraphy and SPECT were sufficient in 10/34 (29%) (p <0.001) and 24/34 (71%) patients, respectively (p=0.004). No progression or deformity recurrence occurred.
Conclusions: Bone SPECT/CT may be indicated in proximal femoral growth disturbance, when the physis is unclear on conventional radiography or severely deformed, the leg exhibits rotational deformity, or the patient is noncompliant.
Comprehensive Characterization of Mitophagy Subtypes via Multiomics Analysis in Head and Neck Squamous Cell Carcinoma
Authors: Liu Junzhi , Li Huimin , Dong Qiuping , Liu Chen , Li Zhe , Liang Zheng 
Published: April 2023

Abstract
Background As an important regulatory mechanism by which cells remove damaged mitochondria and maintain internal and external balance, mitophagy has a significant impact on the occurrence, progression, and treatment of tumors. The response of most Head and Neck Squamous Cell Carcinoma (HNSCC) patients to molecular-targeted drugs remains unsatisfactory. Mitophagy is a promising target for tumor chemotherapy; however, its role in HNSCC remains unclear. In this study, we aimed to comprehensively characterize mitophagy via multiomics analysis in HNSCC.Methods We explored expression profiles and genetic variation features of mitophagy regulators and identified their correlation with patient outcomes across cancers. Three distinct mitophagy subtypes were determined and systematically characterized using multiomics data for HNSCC. Single-sample gene set enrichment analysis (ssGSEA) was used to identify enrichment fractions of several signaling pathways. Several immune cell infiltration algorithms, including TIMER, CIBERSORT, QUANTISEQ, MCPCOUNTER, XCELL, and EPIC, were used to compare immune landscapes among subgroups. The R package "oncoPredict" was utilized to identify various subtypes of drug sensitivity. The R package “Maftools” was utilized to compare different mutation patterns among subgroups. A six mitophagy-related gene (MRG) signature (POLR1D, C2orf76, LASP1, LENG9, EXPH5, and MASP1) was identified to construct a risk score model using univariate Cox regression and least absolute shrinkage and selection operator (LASSO) Cox regression, stratifying patients into high- and low-risk groups, with TCGA cohort validation.Results The mitophagy regulators were deemed to be closely related to HNSCC prognosis and excellent HNSCC predictors. Various subtypes of mitophagy were related to unique metabolic processes and prognoses. Immune cell infiltration was worse in subtypes with high mitophagy levels. In addition, drug sensitivity differed between subtypes. The survival rate of patients in the low-risk category was high. Evaluating the mitophagy modification landscape will help in raising awareness and strengthening the understanding of HNSCC characterization and, furthermore, guiding future clinical decision-making.Conclusions This comprehensive genome-wide analysis of the mitophagy landscape in HNSCC revealed that mitophagy is related to carcinogenesis and the immune microenvironment, with implications for prognosis and therapeutic responses.
Association between Glyphosate Exposure and Erythrograms in a Representative Sample of US Adults: NHANES 2013-2014
Authors: Chang Ming-Hao , Chu Pei-Lun , Wang Chikang , Lin Chien-Yu 
Published: April 2023

Abstract
Glyphosate, being the most commonly utilized herbicide globally, and a growing body of experimental research has linked its exposure to red blood cell impairment. However, the potential toxicity of glyphosate exposure on erythrocytes in the general population remains poorly understood. Therefore, we analyzed data from the 2013–2014 National Health and Nutrition Examination Survey (NHANES) of 1466 adults (≥ 18 years) to explore the potential relationship between glyphosate exposure and erythrocyte profiles. Our results indicated a significant negative association between urinary glyphosate levels and hemoglobin (Hb) and hematocrit (Hct) in multiple regression analysis, with ß coefficients of -0.157 (S.E. = 0.055, P = 0.012) and − 0.431 (S.E. = 0.195, P = 0.043), respectively. Additionally, the odds ratio showed a significant increase in individuals with anemia with a one-unit increase in ln-glyphosate levels (odds ratio = 1.523 (95% CI = 1.301–1.783), P < 0.001 in the final model). The negative correlation between glyphosate and Hb was more pronounced in subjects aged over 60 years, non-Hispanic white ethnicity, lower income, and those with a body mass index (BMI) < 25 and ≥ 30. In conclusion, our results offer initial evidence of a plausible link between glyphosate exposure and anemia among the adult populace in the United States. However, further research is necessary to comprehend the underlying mechanisms and clinical implications of this link.
Machine learning predictions of outcome in Internet-based cognitive behavioral therapy: methodological choices and clinical usefulness
Authors: Isacsson Nils Hentati , Abdesslem Fehmi Ben , Forsell Erik , Boman Magnus , Kaldo Viktor 
Published: April 2023

Abstract

Objective While psychological treatments are effective, a significant portion of patients do not benefit enough. Early identification of those may allow for adaptive treatment strategies and improved outcomes. We aimed to evaluate the clinical usefulness of machine-learning (ML) models predicting outcome in Internet-based Cognitive Behavioural Therapy, to compare ML-related methodological choices, and guide future use of these.Methods Eighty main models were compared. Baseline variables, weekly symptoms, and treatment activity were used to predict treatment outcome in a dataset of 6695 patients from regular care.Results The best predictions used handpicked predictors and imputed missing data. No ML-algorithm showed clear superiority. They had a mean balanced accuracy of 78.1% at treatment week four, closely matched by regression (77.8%).Conclusion ML surpassed the benchmark for clinical usefulness (67%). Advanced and simple models performed equally, indicating a need for more data or smarter methodological designs to confirm advantages of ML.