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空中英语教室（高级版．彭蒙惠英语） 2014年第12期 11-13,39-40页

作者： sami grover

Prediction of bearing capacity of pile foundation using deep learning approaches

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Frontiers of Structural and Civil Engineering 2024年第6期18卷 870-886页

作者： Manish KUMAR Divesh Ranjan KUMAR Jitendra KHATTI Pijush SAMUI Kamaldeep Singh grover Department of Civil Engineering SRM Institute of Science and Technology Tiruchirappalli CampusTrichy 621105India Department of Civil Engineering National Institute of Technology PatnaBihar 800005India Department of Civil Engineering Faculty of EngineeringThammasat School of EngineeringThammasat UniversityBangkok10200Thailand Department of Civil Engineering Rajasthan Technical UniversityKota 324010India

The accurate prediction of bearing capacity is crucial in ensuring the structural integrity and safety of pile *** research compares the Deep Neural Networks(DNN),Convolutional Neural Networks(CNN),Recurrent Neural Networks(RNN),Long Short-Term Memory(LSTM),and Bidirectional LSTM(BiLSTM)algorithms utilizing a data set of 257 dynamic pile load tests for the first ***,this research illustrates the multicollinearity effect on DNN,CNN,RNN,LSTM,and BiLSTM models’performance and accuracy for the first time.A comprehensive comparative analysis is conducted,employing various statistical performance parameters,rank analysis,and error matrix to evaluate the performance of these *** performance is further validated using external validation,and visual interpretation is provided using the regression error characteristics(REC)curve and Taylor *** from the comparative analysis reveal that the DNN(Coefficient of determination(R^(2))_(training(TR))=0.97,root mean squared error(RMSE)_(TR)=0.0413;R^(2)_(testing(TS))=0.9,RMSE_(TS)=0.08)followed by BiLSTM(R^(2)_(TR)=0.91,RMSE_(TR)=0.782;R^(2)_(TS)=0.89,RMSE_(TS)=0.0862)model demonstrates the highest performance *** is noted that the BiLSTM model is better than LSTM because the BiLSTM model,which increases the amount of information for the network,is a sequence processing model made up of two LSTMs,one of which takes the input in a forward manner,and the other in a backward *** prediction of pile-bearing capacity is strongly influenced by ram weight(having a considerable multicollinearity level),and the effect of the considerable multicollinearity level has been determined for the model based on the recurrent neural network *** this study,the recurrent neural network model has the least performance and accuracy in predicting the pile-bearing capacity.

关键词： deep learning algorithms high-strain dynamic pile test bearing capacity of the pile

Prediction of compaction parameters for fine-grained soil: Critical comparison of the deep learning and standalone models

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Journal of Rock Mechanics and Geotechnical Engineering 2023年第11期15卷 3010-3038页

作者： Jitendra Khatti Kamaldeep Singh grover Department of Civil Engineering Rajasthan Technical UniversityKota324010RajasthanIndia

A comparison between deep learning and standalone models in predicting the compaction parameters of soil is presented in this *** hundred and ninety and fifty-three soil samples were randomly picked up from two hundred and forty-three soil samples to create training and validation datasets,*** performance and accuracy of the models were measured by root mean square error(RMSE),coefficient of determination(R2),Pearson product-moment correlation coefficient(r),mean absolute error(MAE),variance accounted for(VAF),mean absolute percentage error(MAPE),weighted mean absolute percentage error(WMAPE),a20-index,index of scatter(IOS),and index of agreement(IOA).Comparisons between standalone models demonstrate that the model MD 29 in Gaussian process regression(GPR)and model MD 101 in support vector machine(SVM)can achieve over 96%of accuracy in predicting the optimum moisture content(OMC)and maximum dry density(MDD)of soil,and outperformed other standalone *** comparison between deep learning models shows that the models MD 46 and MD 146 in long short-term memory(LSTM)predict OMC and MDD with higher accuracy than ANN ***,the LSTM models outperformed the GPR models in predicting the compaction *** sensitivity analysis illustrates that fine content(FC),specific gravity(SG),and liquid limit(LL)highly influence the prediction of compaction parameters.

关键词： Artificial intelligence(AI) Anderson-darling(AD)test Compaction parameters Fine-grained soil Soft computing Score analysis

Sericin alleviates pentylenetetrazole kindling epilepsy and associated comorbidities via modulation of GABA-T enzyme and mitochondrial activity

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Asian Pacific Journal of Tropical Biomedicine 2023年第10期13卷 431-442页

作者： Sania grover Raj Kumar Narang Shamsher Singh I.K.Gujral Punjab Technical University JalandharPunjabIndia Department of Pharmaceutics ISF College of Pharmacy(An Autonomous College)Moga-142001PunjabIndia Neuroscience Division Department of PharmacologyISF College of Pharmacy(An Autonomous College)Moga-142001PunjabIndia

Objective:To assess the effect of sericin against pentylenetetrazole(PTZ)kindling epilepsy and its associated ***:Epilepsy was induced with PTZ at the dose of 30 mg/kg *** alternative days for 25 days in *** was administered orally at the doses of 250,500,and 1000 mg/kg for 35 *** behavioral activities were performed using an elevated plus maze,forced swim test,and Morris water maze test.A PTZ challenge test was conducted on day *** day 35,rats were sacrificed to perform oxidative stress,mitochondrial dysfunction,neuroinflammation,neurotransmitters,GABA-T activity,and histopathological ***:Sericin at 500 and 1000 mg/kg significantly reduced behavioral changes and neuroinflammatory cytokines,as well as improved oxidative stress,mitochondrial enzyme complex activity,neurotransmitter level,and GABA-T enzymatic activity(P<0.05).Moreover,sericin improved the neuronal survival altered by PTZ kindling in rat ***:Sericin mitigates epilepsy-associated secondary complications possibly by the modulation of mitochondrial enzyme complexes and GABA-T enzymatic activity.

关键词： Pentylenetetrazole Sericin GABA-T Epilepsy Anxiety Cognitive impairment

Thrombosis after SARS-CoV2 infection or COVID-19 vaccination:will a nonpathologic anti-PF4 antibody be a solution?—A narrative review

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Journal of Bio-X Research 2022年第3期5卷 97-103页

作者： Elizabeth Rao Payal grover Hongtao Zhang Department of Pathology and Laboratory Medicine Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA

The coronavirus disease 2019(COVID-19)pandemic was triggered by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),a previously unknown strain of *** fully understand the consequences and complications of SARS-CoV-2 infections,we have reviewed current literature on coagulation dysfunctions that are related to the disease and *** COVID-19 is more commonly considered as a respiratory illness,studies indicate that,in addition to respiratory illness,a coagulation dysfunction may develop in individuals after the initial infection,placing them at the risk of developing thrombotic *** who died of COVID-19 had higher levels of D-dimer,a biomarker for blood clot formation and *** treatments for coagulation dysfunctions are critically needed to improve patient *** the other hand,antibodies against platelet factor 4(PF4)/heparin may be found in patients with rare instances of vaccine-induced immunological thrombotic thrombocytopenia(VITT)following vaccination with adenovirus-based *** is characterized by atypical thrombosis and thrombocytopenia,similar to immune-mediated heparin-induced thrombocytopenia(HIT),but with no need for heparin to trigger the immune *** both adenovirus-based and mRNA-based vaccines express the Spike protein of SARS-CoV-2,VITT is exclusively related to adenovirus-based *** to the resemblance with HIT,the use of heparin is highly discouraged against treating patients with thrombotic thrombocytopenia after SARS-CoV-2 infection or with VITT after *** immunoglobulin therapy coupled with anticoagulation is recommended *** well-studied anti-PF4 monoclonal antibody RTO,which does not induce pathologic immune complexes in the presence of heparin and has been humanized for a potential treatment modality for HIT,may provide a nonanticoagulant HIT-specific solution to the problem of increased blood coagulation after SARS-CoV-2 infecti

关键词： antibody coagulation dysfunctions COVID-19 PF4 vaccine-induced immunological thrombotic thrombocytopenia

Machine Learning with Dimensionality Reduction for DDoS Attack Detection

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Computers, Materials & Continua 2022年第8期72卷 2665-2682页

作者： Shaveta Gupta Dinesh grover Ahmad Ali AlZubi Nimit Sachdeva Mirza Waqar Baig Jimmy Singla IK Gujral Punjab Technical University Jalandhar144603India Department.of Electrical Engineering and Computer Science Punjab Agriculture UniversityLudhiana141004India Department of Computer Science Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Vunsol Private Limited Mohali160055India Department of Electrical Engineering FAST National UniversityCFD CampusFaisalabad44000Pakistan School of Computer Science and Engineering Lovely Professional UniversityPunjab144001India

With the advancement of internet,there is also a rise in cybercrimes and digital ***(Distributed Denial of Service)attack is the most dominant weapon to breach the vulnerabilities of internet and pose a significant threat in the digital *** cyber-attacks are generated deliberately and consciously by the hacker to overwhelm the target with heavy traffic that genuine users are unable to use the target *** a result,targeted services are inaccessible by the legitimate *** prevent these attacks,researchers are making use of advanced Machine Learning classifiers which can accurately detect the DDoS ***,the challenge in using these techniques is the limitations on capacity for the volume of data and the required processing *** this research work,we propose the framework of reducing the dimensions of the data by selecting the most important features which contribute to the predictive *** show that the‘lite’model trained on reduced dataset not only saves the computational power,but also improves the predictive *** show that dimensionality reduction can improve both effectiveness(recall)and efficiency(precision)of the model as compared to the model trained on‘full’dataset.

关键词： DDoS(Distributed denial of service) internet ML(machine learning) accuracy

Allium cepa root tip assay in assessment of toxicity of magnesium oxide nanoparticles and microparticles

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Journal of Environmental Sciences 2018年第4期30卷 125-137页

作者： Bhanuramya Mangalampalli Naresh Dumala Paramjit grover Toxicology Unit Pharmacology and Toxicology Division CSIR-Indian Institute of Chemical Technology Academy of Scientific and Innovative Research CSIR-Indian Institute of Chemical Technology

Allium cepa bioassay had been used from decades for the assessment of toxicants and their harmful effects on environment as well as human health. Magnesium oxide（MgO） particles are being utilized in different fields. However, reports on the adverse effects of MgO nanoparticles on the environment and mankind are scarce. Hence, the toxicity of MgO particles is of concern because of their increased utilization. In the current study, A. cepa was used as an indicator to assess the toxicological efficiency of MgO nano-and microparticles（NPs and MPs） at a range of exposure concentrations（12.5, 25, 50, and100 μg/m L）. The toxicity was evaluated by using various bioassays on A. cepa root tip cells such as comet assay, oxidative stress and their uptake/internalization profile. Results indicated a dose dependent increase in chromosomal aberrations and decrease in mitotic index（MI） when compared to control cells and the effect was more significant for NPs than MPs（at p 〈 0.05）. Comet analysis revealed that the Deoxyribonucleic acid（DNA） damage in terms of percent tail DNA ranged from 6.8–30.1 over 12.5–100 μg/m L concentrations of MgO NPs and was found to be significant at the exposed concentrations. A significant increase in generation of hydrogen peroxide and superoxide radicals was observed in accordance with the lipid peroxidation profile in both MgO NPs and MPs treated plants when compared with control. In conclusion, this investigation revealed that MgO NPs exposure exhibited greater toxicity on A. cepa than MPs.

关键词： Magnesium oxide nanoparticles Allium cepa root tip assay Histochemical staining Oxidative stress Internalization of nanoparticles

Comparison of trans-gastric vs trans-enteric(trans-duodenal or trans-jejunal)endoscopic ultrasound guided gallbladder drainage using lumen apposing metal stents

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世界胃肠内镜杂志:英文版(电子版) 2023年第9期15卷 574-583页

作者： Dheera grover Ifrah Fatima Murali Dharan Department of Internal Medicine University of ConnecticutFarmingtonCT 06030United States Department of Internal Medicine University of Missouri-Kansas CityKansas CityMO 64110United States Department of Gastroenterology and Hepatology University of Connecticut Health CenterFarmingtonCT 06030United States

BACKGROUND Endoscopic ultrasound guided gallbladder drainage(EUS-GBD)is being increasingly used in practice(either as a bridge to cholecystectomy in high-risk patients or as destination therapy in non-surgical patients).Stents are used to create a conduit between the lumen of the gallbladder(GB)and the intestinal lumen through the gastric or enteric *** the various types of stents used,cautery-enhanced lumen apposing metallic stents(LAMS)may be associated with fewer adverse events(AEs).AIM To compare the clinical success,technical success,and rate of AEs between transgastric(TG)and trans-enteric[transduodenal(TD)/transjejunal(TJ)]approach to GB ***,we analyzed whether using cautery enhanced stents during EUS-GBD impacts the above *** Study was registered in PROSPERO(CRD42022319019)and comprehensive literature review was *** were reviewed for the data collection:Rate of AEs,clinical success,and technical *** effects model was utilized for the *** No statistically significant difference in clinical and technical success between the TD/TJ and TG approaches(P>0.05)were *** was no statistically significant difference in the rate of AEs when comparing two-arm studies ***,when all studies were included in the analysis difference was almost significant favoring the TD/TJ *** comparing cautery-enhanced LAMS with non-cautery enhanced LAMS,a statistically significant difference in the rate of AEs was observed when all the studies were included,with the rate being higher in non-cautery enhanced stents(14.0%vs 37.8%;P<0.01).CONCLUSION As per our study results,TD/TJ approach appears to be associated with lower rate of adverse events and comparable efficacy when compared to the TG approach for the ***,use of cautery-enhanced LAMS for EUS-GBD is associated with a more favorable adverse event profile compared to cold *** the approach chosen depends on se

关键词： Transduodenal Transgastric Cautery Endoscopic ultrasound guided gallbladder drainage AXIOS

An Efficient Scrambled Estimator of Population Mean of Quantitative Sensitive Variable Using General Linear Transformation of Non-sensitive Auxiliary Variable

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Communications in Mathematics and Statistics 2019年第4期7卷 401-415页

作者： Lovleen Kumar grover Amanpreet Kaur Department of Mathematics Guru Nanak Dev UniversityAmritsarPunjab 143005India

In the present paper,we propose an efficient scrambled estimator of population mean of quantitative sensitive study variable,using general linear transformation of nonsensitive auxiliary *** comparisons with the existing estimators have been carried out both theoretically and *** has been found that our optimal scrambled estimator is always more efficient than most of the existing scrambled estimators and also it is more efficient than few other scrambled estimators under some conditions.

关键词： Bias Efficiency Non-sensitive auxiliary variable Randomized response technique Scrambled estimator Sensitive study variable Simple random sampling without replacement Percent relative efficiency

SiO2-coated pure anatase TiO2 catalysts for enhanced photo-oxidation of naphthalene and anthracene

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Particuology 2017年第5期15卷 156-161页

作者： Inderpreet Singh grover Roop Chand Prajapat Satnam Singh Bonamali Pal Department of Chemistry Public College Samana 147101 Punjab India School of Chemistry and Biochemistry Thapar University Putiala 147004 Punjab India

Our current efforts reveal the preparation of SiO2@TiO2 nanocomposites having different thicknesses of silica shell and the relationship to photocatalytic activity （PCA） for the photo-oxidation of naph-thalene and anthracene. The presence of SiO2 coating over TiO2 surface was demonstrated by FT-IR analysis, with peaks corresponding to Si-O-Si （1081 cm 1） and Si-O-Ti （950 cm-1） bonds observed. High-resolution transmission electron microscopy analysis confirmed the presence of SiO2 in the as- prepared nanocomposites and the amount of Si, Ti, and O was determined by energy dispersive X-ray spectroscopy analysis. Increasing the Si02 shell thickness increases the surface area of the nanocompos- ites （69-235 m2/g）, which enhances naphthalene/anthracene adsorption. However, the observed PCA trend presents an inverse correlation to the adsorption studies, where the as-prepared samples possess- ing the highest surface areas exhibited the least PCA, while catalysts having lower surface areas （among silica coated samples） displayed the highest PCA in the degradation of naphthalene and anthracene to CO2. Despite complete degradation of naphthalene and anthracene, incomplete mineralization occurred, ascribed to the formation of various intermediates, identified by GC-MS analysis.

关键词： Silica coating Naphthalene Anthracene Photo-oxidation TiO2 nanoparticles