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Prediction of bearing capacity of pile foundation using deep learning approaches

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

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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

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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

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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

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Drop formation at nozzles submerged in quiescent continuous phase： an experimental study with TBP-dodecane and nitric acid system

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Nuclear Science and Techniques 2018年第6期29卷 110-118页

作者： Amitava Roy MayurDarekar K. K. singh K. T. Shenoy R. B. grover Homi Bhabha National Institute Anushaktinagar Mumbai 400094 India Chemical Engineering Division Bhabha Atomic Research Centre Mumbai 400085 India

Solvent extraction is an important process in the nuclear fuel cycle. Tributyl phosphate(TBP) diluted with dodecane is commonly used as a solvent for extracting heavy metals from nitric acid medium. Studies on hydrodynamics of a single drop, which is the smallest mass transfer entity, are required for better understanding of the complex mass transfer and phase separation phenomena that occur in extraction equipment. In this study, drop formation at nozzles is studied using 30% TBP-dodecane as the dispersed phase and dilute nitric acid as the quiescent continuous phase. Experiments are carried out to determine the drop diameter, jetting velocity, drop detachment height and drop detachment time for various dispersed phase velocities, nozzle diameters(1.91, 3.04, and 4.88 mm), and nitric acid concentrations(0.01, 1, 3 N). Drop formation is captured using high-speed imaging, which enables quantification of drop size, onset of jetting, drop detachment height, and drop detachment time. Experimental data are used to propose correlations for predicting drop diameter and minimum jetting velocity. The correlations are found to be very accurate with average absolute relative errors being 5.23 and 2.97%, respectively.

关键词：试验性硝酸静止沉没系统高速度分离现象磷酸盐

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Charged current quasi-elastic scattering of vμoff^12C

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Chinese Physics C 2018年第12期42卷 25-31页

作者： Deepika grover Kapil Saraswat Prashant Shukla Venktesh singh Department of Physics Institute of ScienceBanaras Hindu UniversityVaranasi 221005India Nuclear Physics Division Bhabha Atomic Research CentreMumbai 400085India Homi Bhabha National Institute Anushakti NagarMumbai 400094India

In this work, we study charged current quasi-elastic scattering （QES） of vμ off nucleon and nucleus using a formalism based on the Llewellyn Smith （LS） model. Parameterizations by Galster et al. are used for electric and magnetic Sach＇s form factors of the nucleons. We use the Fermi gas model along with the Pauli suppression condition to take into account the nuclear effects in the anti-neutrino-nucleus QES. We calculate vμ-p and vμ-^12C charged current quasi-elastic scattering differential and total cross sections for different values of axial mass MA, and compare the results with data from the GGM, SKAT, BNL, NOMAD, MINERVA and MiniBooNE experiments. The present theoretical approach gives a good description of differential cross section data. The calculations with axial mass MA =0.979 and 1.05 GeV are compatible with data from most of the experiments.

关键词： cross section quasi-elastic scattering axial mass form factors

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Intrapericardial Paraganglioma, an Exceedingly Rare Finding: A Case Report

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Case Reports in Clinical Medicine 2023年第7期12卷 251-255页

作者： Alvaro Altamirano Roshanak Habibi kamaldeep singh Govinda Adhikari Department of Internal Medicine Banner University Medical Center Tucson USA

Paragangliomas are rare tumors that arise from the sympathetic or the parasympathetic ganglia. Parasympathetic paragangliomas are usually nonfunctional. They are often found in the pre aortic and paravertebral sympathetic plexus or at the base of the skull. 80% of these are Glomus jugulare and carotid body paragangliomas. Intrapericardial paragangliomas are exceedingly rare. Less than 2% of paragangliomas are found in the chest and most of them are situated in the posterior mediastinum. As such, there are no clear guidelines on how to treat intrapericardial paragangliomas. We present here the case of a patient with an intrapericardial paraganglioma who was evaluated by cardiology, cardiac surgery, and endocrinology. In this case cardiac surgery opted for a conservative approach and did not offer surgery to the patient. There is some literature supporting a surgical approach but no specific guidelines about this have been written. The patient is currently being monitored since she did not have metastatic disease and her paraganglioma was nonfunctioning. With this case we want to add to the body of evidence that this type of cases does not need an urgent surgical approach.

关键词： Paraganglioma Intrapericardial Nonfunctioning

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The Role of Cover Crops towards Sustainable Soil Health and Agriculture—A Review Paper

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American Journal of Plant Sciences 2018年第9期9卷 1935-1951页

作者： Parmodh Sharma Atinderpal singh Charanjit singh Kahlon Amandeep singh Brar Kulbhushan K. grover Mahendra Dia Robert L. Steiner Department of Applied Statistics and International Business New Mexico State University Las Cruces NM USA Department of Plant and Soil Science Texas Tech University Lubbock TX USA Department of Experiment Statistics Ag Center Louisiana State University Baton Rouge NC USA Department of Agronomy Punjab Agricultural University Ludhiana India Department of Plant and Environmental Sciences New Mexico State University Las Cruces NM USA Department of Horticultural Science North Carolina State University Raleigh NC USA

Cover crops are the plants which are grown to improve soil fertility, prevent soil erosion, enrichment and protection of soil, and enhance nutrient and water availability, and quality of soil. Cover crops provide several benefits to soils used for agriculture production. Cover crops are helpful in increasing and sustaining microbial biodiversity in soils. We summarized the effect of several cover crops in soil properties such as soil moisture content, soil microbial activities, soil carbon sequestration, nitrate leaching, soil water, and soil health. Selection of cover crops usually depends on the primary benefits which are provided by cover crops. Other factors may also include weather conditions, time of sowing, either legume or non-legume and timing and method of killing of a cover crop. In recent times, cover crops are also used for mitigating climate change, suppressing weeds in crops and increasing exchangeable nutrients such as Mg2+ and K+. Cover crops are also found to be economical in long-term experiment studies. Although some limitations always come with several benefits. Cover crops have some problems including the method of killing, host for pathogens, regeneration, and not immediate benefits of using them. Despite the few limitations, cover crops improve the overall health of the soil and provide a sustainable environment for the main crops.

关键词： Cover Crops Sustainable Agriculture Soil Health Legumes Soil Properties

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Trend Analysis of Three Major Mosquito Borne Diseases in Punjab, India

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Journal of Biosciences and Medicines 2020年第5期8卷 1-11页

作者： Gagandeep singh grover Jaspreet Takkar Taruna Kaura Seema Devi Naveed Pervaiz Upninder Kaur Rakesh Sehgal National Vector Borne Disease Control Programme Chandigarh Punjab India Department of Physiology Gian Sagar Medical College Punjab India Department of Medical Parasitology PGIMER Chandigarh India Department of Zoology Panjab University Chandigarh India

Background & Objectives: Understanding the distribution and prevalence of three major mosquito borne diseases in an area is critical for the development of effective vector control strategies and public health interventions. The present study is therefore aimed to explore the epidemiological trend of malaria, dengue and chikungunya from 2012 to 2018 in Punjab. Methods: Quantitatively retrospective data was collected from Department of Health and Family Welfare, the National Vector Borne Disease Control Programme (NVBDCP), Punjab from 2012 to March 2018. The collected data was statistically analysed. Results: In case of malaria highest prevalent districts in Punjab are Mansa and Bathinda, for dengue Patiala, Ludhiana and S.A.S. Nagar and Patiala for chikungunya. Malaria was reported mainly from rural areas while dengue and chikungunya were found more in urban areas. For all three mosquito borne diseases, males were infected more as compared to females. Malaria cases were reported in months of August and September while dengue cases increased from July to November whereas chikungunya cases were highest in months of August to October. Conclusions: These findings help in concluding the trend analysis which in turn helps us to increase our focus on disease endemic districts along with boosting the vector control strategies in respective districts. Further the control of these mosquito borne diseases can be solved by employing adequate human resources, by increasing awareness in the community by conducting health camps and strengthening the entomological surveillance for timely reduction in the breeding of the vectors, especially before the repeated rise in cases during the period from July to November each year.

关键词： NVBDCP Malaria Dengue Chikungunya

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Tandem repetitions in transcriptomes of some Solanaceae species

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American Journal of Molecular Biology 2012年第2期2卷 140-152页

作者： Atul grover Prakash C. Sharma University School of Biotechnology Guru Gobind Singh Indraprastha University Dwarka New Delhi India

Characterization of occurrence, density and motif sequence of tandem repeats in the transcribed regions is helpful in understanding the functional significance of these repeats in the modern genomes. We analyzed tandem repeats present in expressed sequences of thirteen species belonging to genera Capsicum, Nicotiana, Petunia and Solanum of family Solanaceae and the genus Coffea of Rubiaceae to investigate the propagation and evolutionary sustenance of these repeats. Tandem repeat containing sequences constituted 1.58% to 7.46% of sequences analyzed. Tandem repetitions of size 2, 15, 18 and 21 bp motifs were more frequent. Repeats with unit sizes 21 and 22 bp were also abundant in genomic sequences of potato and tomato. While mutations occurring in these repeats may alter the repeat number, genomes adjust to these changes by keeping the translated products unaffected. Surprisingly, in majority of the species under study, tandem repeat motif length did not exceed 228 bp. Conserved tandem repeat motifs of sizes 180, 192 and 204 bp were also abundant in the genomic sequences. Our observations lead us to propose that these tandem repeats are actually remnants of ancestral megasatellite repeats, which have split into multiple repeats due to frequent insertions over the course of evolution.

关键词： ESTs Solanaceae Tandem Repeats Transcriptome TRF

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