mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Application of adaptive neuro-fuzzy inference system and data mining approach to predict lost circulation using DOE technique(case study: Maroon oilfield)

Lost circulation is the most common problem encountered while drilling oil wells.Occurrence of such a problem can cause a lot of time and cost wastes.In order to drill oil wells,a fast and profitable way is necessary to predict and solve lost circulation problem.Expert system is a method used lately for problems that deal with uncertainty.In this paper,three approaches are carried out for prediction of lost circulation problem.These approaches include design of experiments(DOE),data mining,and adaptive neuro-fuzzy inference system(ANFIS).Data of 61 wells of Maroon oilfield are selected and sorted as the feed of the systems.Seventeen variables are used as inputs of the approaches and one variable is used as the output.First,DOE is conducted to observe the effects of variables.Plackett-Burman method is used to determine the effects of variables on lost circulation.After that,data mining is conducted to predict the amount of lost circulation.The class of regression is used to determine a function to model the data and the error of the model.Then,ANFIS is applied to predict the amount of lost circulation.The chosen data are used in order to train,test,and control the ANFIS.Furthermore,subtractive clustering is used to train the fuzzy inference system(FIS)of the model.The performance of the ANFIS model is assessed through the root mean squared error(RMSE).The results suggest that ANFIS method can be successfully applied to establish lost circulation prediction model.In addition,results of ANFIS and data mining are investigated through their prediction performances.The comparison of both methods reveals that ANFIS error is much lower than data mining.
Predicting the performance of steam assisted gravity drainage(SAGD)method utilizing artificial neural network(ANN)

As the price of oil decreases,it is becoming increasingly important for oil companies to operate in the most costeffective manner.This problem is especially apparent in Western Canada,where most oil production is dependent on costly enhanced oil recovery(EOR)techniques such as steam-assisted gravity drainage(SAGD).Therefore,the goal of this study is to create an artificial neural network(ANN)that is capable of accurately predicting the ultimate recovery factor of oil reservoirs by steam-assisted gravity drainage(SAGD).The developed ANN model featured over 250 unique entries for oil viscosity,steam injection rate,horizontal permeability,permeability ratio,porosity,reservoir thickness,and steam injection pressure collected from literature.The collected data set was entered through a feed-forward back-propagation neural network to train,validate,and test the model to predict the recovery factor of SAGD method as accurate as possible.Results from this study revealed that the neural network was able to accurately predict recovery factors of selected projects with less than 10% error.When the neural network was exposed to a new simulation data set of 64 points,the predictions were found to have an accuracy of 82% as measured by linear regression.Finally,the feasibility of ANN to predict the recovery performance of one of the most complicated enhanced heavy oil recovery techniques with reasonable accuracy was confirmed.
Artificial neural network model for predicting drill cuttings settling velocity

The traditional method of using the coefficient of drag-Reynolds number relationship to predict cuttings settling velocity involves an implicit procedure that requires repeated,time-consuming and tedious iterations using Newtonian or mostly non-Newtonian correlations.Usually,these correlations are limited to certain fluid flow regimes.Besides,most of the explicit and direct cuttings settling velocity models that exist are based on the assumption that the cuttings are spherical particles.However,in the field,the cuttings are a mixture of various shapes and are hardly spherical,hence these models when applied to field conditions come off with huge errors.The objective of this work was to use a nature-inspired algorithm(artificial neural network-ANN)to develop a model for estimating cuttings settling velocity that would be robust and useful in the field that would take into account the shape of the cuttings.The data used for this work was obtained from research experiments in the literature.The model was then evaluated using four performance metrics namely: mean squared error(MSE),root mean square error(RMSE),sum of squares error(SSE)and goodness of fit(R~2).It was found that the model's predictions obtained in this work agreed with experimental evidence.Furthermore,the developed model possesses the capacity to generalize across new input datasets and can be applied to particles of any shape,hence,defining the novelty of this research and bridging the gap between theory and practice.When compared with state-of-the-art models,the developed models show a high degree of robustness,as the ANN model performed reasonably well with an MSE of 7.5 ×10~(-4),an R~2 of 0.978,RMSE of 0.0274 and SSE of 0.25.To generalize the results across new input datasets,the developed model was cross-validated with new data that was not part of the training process.It was found that the ANN model had an MSE value 0.00807,RMSE of 0.0898,MAE of 0.065,SSE of 2.74 and MAPE of 0.675%.To ensure the replicability of the ANN model,the weights and biases for the inputs,hidden and output layers are presented in this work unlike other artificial intelligence-based models in the literature.The range of application for the developed ANN model is 0.0001 < Particle Reynolds's number < 100 and 0.471 < cuttings sphericity < 1.With the model developed in this work,the cuttings settling velocity can be predicted with minimal errors in a quick,less cumbersome,non-iterative manner and is not limited by cuttings shapes' factor and fluid flow regimes.
SUMOylation stabilizes hSSBl and enhances the recruitment of NBS1 to DNA damage sites

Human single-stranded DNA-binding protein 1 (hSSBl) is required for the efficient recruitment of the MRN complex to DNA doublestrand breaks and is essential for the maintenance of genome integrity. However, the mechanism by which hSSBl recruits NBS1 remains elusive. Here, we determined that hSSBl undergoes SUMOylation at both K79 and K94 under normal conditions and that this modification is dramatically enhanced in response to DNA damage. SUMOylation of hSSB1, which is specifically fine-tuned by PIAS2a, and SENP2, not only stabilizes the protein but also enhances the recruitment of NBS1 to DNA damage sites. Cells with defective hSSB1 SUMOylation are sensitive to ionizing radiation, and global inhibition of SUMOylation by either knocking out UBC9 or adding SUMOylation inhibitors significantly enhances the sensitivity of cancer cells to etoposide. Our findings reveal that SUMOylation, as a novel posttranslational modification of hSSBl, is critical for the functions of this protein, indicating that the use of SUMOylation inhibitors (e.g., 2-D08 and ML-792) may be a new strategy that would benefit cancer patients being treated with chemoor radiotherapy.
Tetrahedral framework nucleic acids promote scarless healing of cutaneous wounds via the AKT-signaling pathway

While the skin is considered the first line of defense in the human body, there are some vulnerabilities that render it susceptible to certain threats, which is an issue that is recognized by both patients and doctors. Cutaneous wound healing is a series of complex processes that involve many types of cells, such as fibroblasts and keratinocytes. This study showed that tetrahedral framework nucleic acids (tFNAs), a type of self-assembled nucleic-acid material, have the ability to promote keratinocyte(HaCaT cell line) and fibroblast(HSF cell line) proliferation and migration in vitro. In addition, tFNAs increased the secretion of vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF) in HSF cells and reduced the production of tumor necrosis factor-alpha (TNF-a) and interleukin-1 beta (IL-1β) in HaCaT cells by activating the AKT-signaling pathway. During in vivo experiments, tFNA treatments accelerated the healing process in skin wounds and decreased the development of scars, compared with the control treatment that did not use tFNAs. This is the first study to demonstrate that nanophase materials with the biological features of nucleic acids accelerate the healing of cutaneous wounds and reduce scarring, which indicates the potential application of tFNAs in skin tissue regeneration.
TCP1 regulates Wnt7b/β-catenin pathway through P53 to influence the proliferation and migration of hepatocellular carcinoma cells

Molecular chaperones are critical mediators of oncogenesis and necessary for cell survival. The cytoplasmic chaperone TRiC (Tcomplex protein-1 ring complex, also known as CCT) comprises two back-to-back stacked rings, with each ring containing eight subunits (CCT1-CCT8). And the effects of CCT subunits on tumors may be different. However, the roles of the CCT1 subunit (also known as TCP1) in hepatocellular carcinoma (HCC) and its molecular mechanism have not been investigated thoroughly. Understanding these details can provide new ideas and strategies for treating HCC.
GSDME enhances Cisplatin sensitivity to regress non-small cell lung carcinoma by mediating pyroptosis to trigger antitumor immunocyte infiltration

Non-small cell lung cancer (NSCLC) is the most common type of lung cancers. Since the majority of NSCLC patients are diagnosed at the advanced stage with a dramatic impact on the prognosis, chemotherapy is still the mainstay of treatment. Cisplatin (CDDP) remains one of the most widely used first-line drugs in the therapy of NSCLC, based on the clinical data that the poor outcomes of untreated NSCLC patients (5% overall survival at 1 year) have shown improvements in natural history of disease after CDDP-based chemotherapy (15% overall survival at 1 year). Nevertheless, Cisplatin has strong toxic side effects and many NSCLC patients treated with CDDP are easy to occur drug insensitivity, near-to-invariably leading to relapse and therapeutic failure. Therefore, finding novel target molecules which can regulate CDDP innate sensitivity is vital to improve clinical efficacy. For decades, a long-held consensus is that caspases-3-induced apoptosis is the major pattern for antitumor role of CDDP. The CDDP can promote cancer cell elimination via rewiring pro-proliferative signaling to pro-apoptotic pathway. However, apoptosis resistance readily occurs after CDDP treatment and it is of great significance to explore whether other types of programmed cell death can effectively heighten innate CDDP sensitivity.
HM30181A, a potent P-glycoprotein inhibitor, potentiates the absorption and in vivo antitumor efficacy of paclitaxel in an orthotopic brain tumor model

Objective: Delivery of chemotherapeutic drugs to the brain has remained a major obstacle in the treatment of glioma, owing to the presence of the blood-brain barrier and the activity of P-gp, which pumps its substrate back into the systemic circulation. The aim of the present study was to develop an intravenous formulation of HM30181A (HM) to inhibit P-gp in the brain to effectively deliver paclitaxel (PTX) for the treatment of malignant glioma. Methods: Two formulations of solubilized HM were designed on the basis of different solid dispersion strategies: i) spray-drying [polyvinlypyrrolidone (PVP)-HM] and ii) solvent evaporation [HP-β-cyclodextrin (cyclodextrin)-HM]. The P-gp inhibition of these 2 formulations was assessed on the basis of rhodamine 123 uptake in cancer cells. Blood and brain pharmacokinetic parameters were also determined, and the antitumor effect of cyclodextrin-HM with PTX was evaluated in an orthotopic glioma xenograft mouse model. Results: Although both PVP-HM and cyclodextrin-HM formulations showed promising P-gp inhibition activity in vitro, cyclodextrin-HM had a higher maximum tolerated dose in mice than did PVP-HM. Pharmacokinetic study of cyclodextrin-HM revealed a plasma concentration plateau at 20 mg/kg, and the mice began to lose weight at doses above this level. Cyclodextrin-HM (10 mg/kg) administered with PTX at 10 mg/kg showed optimal antitumor activity in a mouse model, according to both tumor volume measurement and survival time (P < 0.05). Conclusions: In a mouse orthotopic brain tumor model, the intravenous co-administration of cyclodextrin-HM with PTX showed potent antitumor effects and therefore may have potential for glioma therapy in humans.
SHP2 promotes proliferation of breast cancer cells through regulating Cyclin D1 stability via the PI3K/AKT/GSK3β signaling pathway

Objective: The tyrosine phosphatase SHP2 has a dual role in cancer initiation and progression in a tissue type-dependent manner. Several studies have linked SHP2 to the aggressive behavior of breast cancer cells and poorer outcomes in people with cancer. Nevertheless, the mechanistic details of how SHP2 promotes breast cancer progression remain largely undefined. Methods: The relationship between SHP2 expression and the prognosis of patients with breast cancer was investigated by using the TCGA and GEO databases. The expression of SHP2 in breast cancer tissues was analyzed by immunohistochemistry. CRISPR/ Cas9 technology was used to generate SHP2-knockout breast cancer cells. Cell-counting kit-8, colony formation, cell cycle, and EdU incorporation assays, as well as a tumor xenograft model were used to examine the function of SHP2 in breast cancer proliferation. Quantitative RT-PCR, western blotting, immunofluorescence staining, and ubiquitination assays were used to explore the molecular mechanism through which SHP2 regulates breast cancer proliferation. Results: High SHP2 expression is correlated with poor prognosis in patients with breast cancer. SHP2 is required for the proliferation of breast cancer cells in vitro and tumor growth in vivo through regulation of Cyclin D1 abundance, thereby accelerating cell cycle progression. Notably, SHP2 modulates the ubiquitin–proteasome-dependent degradation of Cyclin D1 via the PI3K/AKT/GSK3β signaling pathway. SHP2 knockout attenuates the activation of PI3K/AKT signaling and causes the dephosphorylation and resultant activation of GSK3β. GSK3β then mediates phosphorylation of Cyclin D1 at threonine 286, thereby promoting the translocation of Cyclin D1 from the nucleus to the cytoplasm and facilitating Cyclin D1 degradation through the ubiquitin–proteasome system. Conclusions: Our study uncovered the mechanism through which SHP2 regulates breast cancer proliferation. SHP2 may therefore potentially serve as a therapeutic target for breast cancer.
Receptor-like kinase OsCR4 controls leaf morphogenesis and embryogenesis by fixing the distribution of auxin in rice

Cell differentiation is a key event in organ development;it involves auxin gradient formation,cell signaling,and transcriptional regulation.Yet,how these processes are orchestrated during leaf morphogenesis is poorly understood.Here,we demonstrate an essential role for the receptor-like kinase OsCR4 in leaf development.oscr4 loss-of-function mutants displayed short shoots and roots,with tiny,crinkly,or even dead leaves.The delayed outgrowth of the first three leaves and seminal root in oscr4 was due to defects in plumule and radicle formation during embryogenesis.The deformed epidermal,mesophyll,and vascular tissues observed in oscr4 leaves arose at the postembryo stage;the corresponding expression pattern of proOsCR4:GUS in embryos and young leaves suggests that OsCR4 functions in these tissues.Signals from the auxin reporter DR5rev:VENUS were found to be altered in oscr4 embryos and disorganized in oscr4 leaves,in which indole-3-acetic acid accumulation was further revealed by immunofluorescence.OsWOX3A,which is auxin responsive and related to leaf development,was activated extensively and ectopically in oscr4 leaves,partially accounting for the observed lack of cell differentiation.Our data suggest that OsCR4 plays a fundamental role in leaf morphogenesis and embryogenesis by fixing the distribution of auxin.
Effect of Loading Rate on Lateral Pile-Soil Interaction in Sand Considering Partially Drained Condition

Reliable assessment of the lateral pile-soil interaction is of pronounced importance for the design of mono-pile foundations of offshore wind turbines. As the offshore engineering moves to deeper waters, the diameter of monopiles is getting larger, usually about 5 m and could be up to 8 m, which may lead to partially drained behaviors of sand in the vicinity of the pile and thus imply limitations of conventional design methods in which fully drained conditions were assumed. To shed light on this issue, a fully-coupled finite element model was established using an in-house developed finite element code DBLEAVES, incorporating a cyclic mobility constitutive model that is capable of describing the instantaneous contractive and dilative response of sands simultaneously. Triaxial and centrifuge model tests were conducted to calibrate the constitutive model and validate the pile-soil interaction model respectively. This is followed by a parametric study primarily focusing on the effects of loading rates. The initial stiffness of the p-y curve was found to increase with the loading rate whilst the bearing capacity showed the inverse, and the mechanism behind this phenomenon is examined in detail. Then an explicit model was developed to evaluate the development of excess pore pressure in the pile front upon lateral loading, and an upper boundary of normalized loading rate was identified to distinguish fully and partially drained conditions.
Bedload Sediment Rate Prediction for the Sand Transport Along Coastal Waters in Ocean Management Strategy

Interactions among different landforms and varied complicated physical processes cause sediment transport in coastal regions being the interest of ocean management planning studies. In coastal zones, the derivation of the bedload sediment transport rate and the flow velocity distribution is done by entropy theory which assumes the modified spatiotemporal disorder power index (MSTDPI) and the time-averaged flow velocity (as a random variable). Studying the deposition trend of bedload sediment transport rate for the sand particle (BLSTRS) and estimating the coastal erosion rate as a case study, the Makran coast is selected. To analyze the spatiotemporal patterns, the disorder power index (entropy-power) method is applied in this study where the monthly data of six Makran coastal sections from January 1970 to December 2015 are used. The studied data are mainly focused on the correlation of the flow rate of the sediment from the Makran River, and the spatiotemporal patterns of BLSTRS. Despite their meaningful spatiotemporal variability, it is not very easy to explain how the abovementioned variables perform together; the entropy-power index allows a better understanding of the combined performance of such parameters as the flow velocity and sediment transport by showing clearer signals for the assessment of coastal engineering issues at very large (coastal) scales.
Therapeutic potential of dental pulp stem cell transplantation in a rat model of Alzheimer's disease

Dental pulp stem cells are dental pulp-derived mesenchymal stem cells that originate from the neural crest. They exhibit greater potential for the treatment of nervous system diseases than other types of stem cells because of their neurogenic differentiation capability and their ability to secrete multiple neurotrophic factors. Few studies have reported Alzheimer's disease treatment using dental pulp stem cells. Rat models of Alzheimer's disease were established by injecting amyloid-β1-42 into the hippocampus. Fourteen days later, 5 × 10~6 dental pulp stem cells were injected into the hippocampus. Immunohistochemistry and western blot assays showed that dental pulp stem cell transplantation increased the expression of neuron-related doublecortin, NeuN, and neurofilament 200 in the hippocampus, while the expression of amyloid-β was decreased. Moreover, cognitive and behavioral abilities were improved. These findings indicate that dental pulp stem cell transplantation in rats can improve cognitive function by regulating the secretion of neuron-related proteins, which indicates a potential therapeutic effect for Alzheimer's disease. This study was approved by the Animal Ethics Committee of Harbin Medical University, China (approval No. KY2017-132) on February 21, 2017.
Eff ect of Hydrostatic Pressure on LPSO Kinking and Microstructure Evolution of Mg–11Gd–4Y–2Zn–0.5Zr Alloy

Two diff erent kinds of hot compressions, namely normal-compression and can-compression, were performed on the Mg–11Gd–4Y–2Zn–0.5Zr alloy, featured with long period stacking ordered (LPSO) phase. The kinking behavior of LPSO phase and microstructure evolution was investigated to clarify the eff ect of levels of imposed hydrostatic pressure. The results suggest that the LPSO phases including both the intragranular 14H-LPSO phase and intergranular 18R-LPSO phase suff er severe kinking behavior under higher hydrostatic pressure induced by can-compression, which is firstly characterized with more kinking times and smaller relative kinking width. The main reason for such enhanced LPSO kinking during cancompression may be mainly ascribed to the higher dislocation density under a higher level of hydrostatic pressure. Meanwhile, a competitive relationship between the kink behaviors of intergranular 18R-LPSO phase and intragranular 14H-LPSO phase was observed. That is, the intergranular 18R-LPSO phase only kinks obviously on the condition that the surrounded intragranular 14H-LPSO phase scarcely kinks. In contrast to the distinctive kinking of LPSO phase, the dynamic recrystallization (DRX) mechanism shows less dependence on the hydrostatic pressure. Resultantly, similar DRX fractions and crystallographic texture were attained for two compression processes owing to the similar operation of deformation mode.
Preparation of hysteresis-free flexible perovskite solar cells via interfacial modification

In recent years,flexible perovskite solar cells have received extensive attention and rapid development due to their advantages of lightweight,portability,wearability and applications in near-space.However,due to the limitations of their preparation process and other factors,high-efficiency and large-area flexible perovskite solar cells still have a lot of room for development.In our work,a flexible perovskite solar cell (PEN/ITO/SnO_2/KCl/Cs_(0.05)(MA_(0.17)FA_(0.83))_(0.95)Pb(I_(0.83)Br_(0.17))_3/spiro/Au) was prepared using a low temperature (no higher than 100 ◦C) solution process,and the device with the highest efficiency of 16.16% was obtained by adjusting the concentration of the KCl modified layer.Meanwhile,the efficiency of the large area (1 cm~2) flexible solar cell was higher than 13%.At the same time,the passivation of the KCl interface modification layer inhibits the formation of the defect states,which reduced the surface recombination of the perovskite and improved the carrier transport performance,and the hysteresis effect of the device was also reduced accordingly.