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International Journal of Minerals,Metallurgy and Materials 2020年第9期27卷 1203-1215页

作者： sandeep Kumar Jena Jogeshwar Sahu Geetikamayee Padhy Swagatika Mohanty Ajit Dash Mineral Processing and Central Characterization Department Council of Scientific and Industrial Research(CSIR)-Institute of Minerals and Materials Technology(IMMT)BhubaneswarOdisha 751013India

The present paper reports the effective utilization of marble sludge powder(MSP)for the recovery of potash values from waste mica scrap using chlorination roasting-water leaching *** studies indicated the presence of dolomite as the major mineral phase in MSP,whereas muscovite and quartz were observed in the mica *** acid leaching studies suggest a maximum of 22%potash recovery under conditions:4 M H2SO4 acid,particle size of^100μm,stirring speed of 600 r/min,leaching temperature of 75℃,and leaching time of 90 *** chlorination roasting-water leaching process was adopted to achieve the lowest level of 80%-90%potash *** optimum conditions for the recovery of^93%potash from mica(~8.6wt%K2O)requires 900℃ roasting temperature,30 min roasting time,and 1:1:0.75 mass ratio of mica:MSP:*** roasting temperature and amount of NaCl are found to be the most important factors for the recovery *** reaction mechanism suggests the formation of different mineral phases,including sylvite(KCl),wollastonite,kyanite,and enstatite,during roasting,which were confirmed by X-ray diffraction(XRD)analyses and scanning electron microscopy(SEM)*** MSP-blended NaCl additive is more effective for potash recovery compared with the other reported commercial roasting additives.

关键词： potash recovery mica scrap marble sludge powder chlorination roasting water leaching

Pharmacokinetic, pharmacodynamic, and neurochemical investigations of lamotrigine-pentylenetetrazole kindled mice to ascertain it as a reliable model for clinical drug-resistant epilepsy

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Animal Models and Experimental Medicine 2020年第3期3卷 245-255页

作者： sandeep Kumar Rajesh K.Goel Department of Pharmaceutical Sciences&Drug Research Punjabi UniversityPatialaPunjabIndia

Background:Pentylenetetrazole kindling has long been used for the screening of investigational antiseizure *** presence of lamotrigine,at a very low dose,does not hamper kindling in mice;rather it modifies this epileptogenesis process into drug-resistant *** lamotrigine-pentylenetetrazole kindled mice show resistance to lamotrigine,phenytoin,and *** may also be possible that other licensed antiseizure drugs,like the mentioned drugs,remain ineffective in this model;therefore,this was the subject of this ***:Swiss albino mice were kindled with pentylenetetrazole for 35 days in the presence of either methylcellulose vehicle or lamotrigine(subtherapeutic dose,ie,5 mg/kg).Vehicle vs lamotrigine-kindled mice were compared in terms of(a)resistance/response toward nine antiseizure drugs applied as monotherapies and two drug combinations;(b)lamotrigine bioavailability in blood and brain;(c)blood-brain barrier integrity;and(d)amino acids and monoamines in the cerebral cortex and ***:Lamotrigine vs vehicle-kindled mice are similar(or not significantly different P>.05 from each other)in terms of(a)response toward drug combinations;(b)lamotrigine bioavailability;and(c)blood-brain barrier integrity except for,significantly(P<.05)reduced taurine and increased glutamate in the cerebral cortex and *** from these,lamotrigine-kindled mice show significant(P<.05)resistant to lamotrigine(15 mg/kg),levetiracetam(40 mg/kg);carbamazepine(40 mg/kg),zonisamide(100 mg/kg),gabapentin(224 mg/kg),pregabalin(30 mg/kg),phenytoin(35 mg/kg),and topiramate(300 mg/kg).Conclusion:Lamotrigine-pentylenetetrazole kindling takes longer to develop(~5 weeks)in comparison to lamotrigine-amygdale(~4 weeks)and lamotriginecorneal(~2 weeks)kindling ***,drug screening through this model may yield superior drugs with novel antiseizure mechanisms.

关键词： animal models drug-resistant epilepsy kindling lamotrigine refractory epilepsy

Effect of tool plunge depth on reinforcement particles distribution in surface composite fabrication via friction stir processing

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Defence Technology（防务技术） 2017年第2期13卷 86-91页

作者： sandeep Rathee Sachin Maheshwari Arshad Noor Siddiquee Manu Srivastava Division of Manufacturing Processes and Automation Engineering(MPAE) Netaji Subhas Institute of Technology Department of Mechanical Engineering Jamia Millia Islamia A Central University

Aluminium matrix surface composites are gaining alluring role especially in aerospace, defence, and marine industries. Friction stir processing(FSP) is a promising novel solid state technique for surface composites fabrication. In this study, AA6061/SiC surface composites were fabricated and the effect of tool plunge depth on pattern of reinforcement particles dispersion in metal matrix was investigated. Six varying tool plunge depths were chosen at constant levels of shoulder diameter and tool tilt angle to observe the exclusive effect of plunge variation. Process parameters chosen for the experimentation are speed of rotation, travel speed and tool tilt angle which were taken as 1400 rpm, 40 mm/min, and 2.5 °respectively. Macro and the microstructural study were performed using stereo zoom and optical microscope respectively. Results reflected that lower plunge depth levels lead to insufficient heat generation and cavity formation towards the stir zone center. On the other hand, higher levels of plunge depth result in ejection of reinforcement particles and even sticking of material to tool shoulder. Thus, an optimal plunge depth is needed in developing defect free surface composites.

关键词： Metal matrix composites Friction stir processing Tool plunge depth Microstructural characterization

Effect of varying spatial orientations on build time requirements for FDM process: A case study

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Defence Technology（防务技术） 2017年第2期13卷 92-100页

作者： sandeep Rathee Manu Srivastava Sachin Maheshwari Arshad Noor Siddiquee Division of Manufacturing Processes and Automation Engineering Netaji Subhas Institute of Technology Department of Mechanical Engineering Jamia Millia Islamia A Central University

In this research, effect of varying spatial orientations on the build time requirements for fused deposition modelling process is studied. Constructive solid geometry cylindrical primitive is taken as work piece and modeling is accomplished for it. Response surface methodology is used to design the experiments and obtain statistical models for build time requirements corresponding to different orientations of the given primitive in modeller build volume. Contour width, air gap, slice height, raster width, raster angle and angle of orientation are treated as process parameters. Percentage contribution of individual process parameter is found to change for build time corresponding to different spatial orientations. Also, the average of build time requirement changes with spatial orientation. This paper attempts to clearly discuss and describe the observations with an aim to develop a clear understanding of effect of spatial variations on the build time for Fused Deposition Modelling process. This work is an integral part of process layout optimization and these results can effectively aid designers specially while tackling nesting issues.

关键词： Fused deposition modeling Spatial orientation Process parameters Response Surface Methodology Build time

Hybrid generative regressionbased deep intelligence to predict the risk of chronic disease

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International Journal of Intelligent Computing and Cybernetics 2022年第1期15卷 144-164页

作者： sandeep Kumar Hegde Monica R.Mundada Department of Computer Science and Engineering M.S.Ramaiah Institute of TechnologyBangaloreIndia Department of Computer Science and Engineering NMAM Institute of TechnologyNitteIndia Visvesvaraya Technological University BelagaviIndia

Purpose-Chronic diseases are considered as one of the serious concerns and threats to public health across the *** such as chronic diabetes mellitus(CDM),cardio vasculardisease(CVD)and chronic kidney disease(CKD)are major chronic diseases responsible for millions of *** of these diseases is considered as a risk factor for the other two ***,noteworthy attention is being paid to reduce the risk of these *** amount of medical data is generated in digital form from smart healthcare appliances in the current *** numerous machine learning(ML)algorithms are proposed for the early prediction of chronic diseases,these algorithmic models are neither generalized nor adaptive when the model is imposed on new disease ***,these algorithms have to process a huge amount of disease data iteratively until the model *** limitation may make it difficult forMLmodels to fit and produce imprecise results.A single algorithm may not yield accurate ***,an ensemble of classifiers built from multiple models,that works based on a voting principle has been successfully applied to solve many classification *** purpose of this paper is to make early prediction of chronic diseases using hybrid generative regression based deep intelligence network(HGRDIN)***/methodology/approach-In the proposed paper generative regression(GR)model is used in combination with deep neural network(DNN)for the early prediction of chronic *** GR model will obtain prior knowledge about the labelled data by analyzing the correlation between features and class ***,the weight assignment process of DNN is influenced by the relationship between attributes rather than random *** knowledge obtained through these processes is passed as input to the DNN network for further *** the inference about the input data instances is drawn at the DNN through the GR model,the model is named as

关键词： Deep neural network Generative regression Chronic disease Regularization Maximum likelihood estimation

Identifying malicious accounts in blockchains using domain names and associated temporal properties

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Blockchain(Research and Applications) 2023年第3期4卷 39-51页

作者： Rohit Kumar Sachan Rachit Agarwal sandeep Kumar Shukla C3i Hub Indian Institute of Technology KanpurKanpur 208016India CSE Department Indian Institute of Technology KanpurKanpur 208016India Bennet University Greater Noida 201310India Merkle Science Bangalore 560102India

The rise in the adoption of blockchain technology has led to increased illegal activities by cybercriminals costing billions of *** machine learning algorithms are applied to detect such illegal *** algorithms are often trained on the transaction behavior and,in some cases,trained on the vulnerabilities that exist in the *** our approach,we study the feasibility of using the Domain Name(DN)associated with the account in the blockchain and identify whether an account should be tagged malicious or ***,we leverage the temporal aspects attached to the *** approach achieves 89.53%balanced-accuracy in detecting malicious blockchain *** our results identify 73769 blockchain DNs that show malicious behavior at least once,out of these,34171 blockchain DNs show persistent malicious behavior,resulting in 2479 malicious blockchain DNs over ***,none of these identified malicious DNs were reported in new officially tagged malicious blockchain DNs.

关键词： Blockchain Machine learning Suspect identification Domain name Temporal properties

Optimization of CMOS Repeater Driven Interconnect RC Line Using Genetic Algorithm

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Journal of Shanghai Jiaotong university(Science) 2017年第2期22卷 167-172页

作者： KAUR Jasmeet GILL sandeep Singh KAUR Navneet Department of Electronics and Communication Engineering Guru Nanak Dev Engineering CollegeLudhiana 141006India

In this work, optimization of complementary metal oxide semiconductor (CMOS) repeater driven interconnect resistive-capacitive (RC) line is carried out using genetic algorithm (GA). This work is aimed at powerdelay- product (PDP) minimization of RC interconnect at 180 nm technology node. The algorithm simultaneously optimizes the values of supply voltage, number of repeaters and repeater width for delay and PDP minimization. The accuracy of results obtained is verified by simulations from Cadence virtuoso tool. For delay minimization, comparison of GA results with previous results of the literature shows an improvement of 44.4% in the value of the optimal number of repeaters required. This improvement is obtained by increasing the repeater size, which also increases power dissipation, so a tradeoff has also been achieved in terms of PDP minimization. The comparison of PDP results obtained in this work, with the results at 70, 100, and 130 nm technologies from literature shows improvement in optimal number of repeaters required. The results of algorithm and simulations are in good agreement and demonstrate the validity of proposed algorithm. © 2017, Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg.

关键词： complementary metal oxide semiconductor(CMOS) genetic algorithm interconnects optimal power-delay-product repeater

Multiway Relay Based Framework for Network Coding in Multi-Hop WSNs

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Computers, Materials & Continua 2023年第1期74卷 1199-1216页

作者： Vinod Kumar Menaria Anand Nayyar sandeep Kumar Ketan Kotecha Department of IT&C(DoIT&C) Govt of RajasthanJaipurIndia Graduate School Faculty of Information TechnologyDuy Tan UniversityDa NangVietnam Department of Computer Science and Engineering CHRIST(Deemed to be University)Bangalore560074India Symbiosis Centre for Applied Artificial Intelligence Symbiosis International UniversityPuneIndia

In today’s information technology(IT)world,the multi-hop wireless sensor networks(MHWSNs)are considered the building block for the Internet of Things(IoT)enabled communication systems for controlling everyday tasks of organizations and industry to provide quality of service(QoS)in a stipulated time slot to end-user over the *** city(SC)is an example of one such application which can automate a group of civil services like automatic control of traffic lights,weather prediction,surveillance,etc.,in our daily *** IoT-based networks with multi-hop communication and multiple sink nodes provide efficient communication in terms of performance parameters such as throughput,energy efficiency,and end-to-end delay,wherein low latency is considered a challenging issue in next-generation networks(NGN).This paper introduces a single and parallels stable server queuing model with amulti-class of packets and native and coded packet flowto illustrate the simple chain topology and complexmultiway relay(MWR)node with specific neighbor ***,for improving data transmission capacity inMHWSNs,an analytical framework for packet transmission using network coding at the MWR node in the network layer with opportunistic listening is performed by considering bi-directional network flow at the MWR ***,the accuracy of the proposed multi-server multi-class queuing model is evaluated with and without network coding at the network layer by transmitting data *** results of the proposed analytical framework are validated and proved effective by comparing these analytical results to simulation results.

关键词： Multi-hop wireless sensor networks network coding multiway relay node throughput multi-server multi-class queuing models

Capacitance-voltage analysis of a high-k dielectric on silicon

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Journal of Semiconductors 2012年第2期33卷 10-13页

作者： Davinder Rathee sandeep K.Arya Mukesh Kumar Department of Electronics and Communication Engineering Guru Jambeshwer University of Science and TechnologyHisarIndia Department of Electronics Science Kurukshetra UniversityKurukshetraIndia

Device characteristics of TiO;gate dielectrics deposited by a sol-gel method and DC sputtering method on a P-type silicon wafer are ***-oxide-semiconductor capacitors with Al as the top electrode were fabricated to study the electrical properties of TiO;*** films were physically characterized by using X-ray diffraction,a capacitor voltage measurement,scanning electron microscopy,and by spectroscopy *** XRD and DST-TG indicate the presence of an anatase TiO;phase in the *** deposited at higher temperatures showed better *** dielectric constant calculated using the capacitance voltage measurement was found to be 18 and 73 for sputtering and sol-gel samples *** refractive indices of the films were found to be 2.16 for sputtering and 2.42 for sol-gel samples.

关键词： sol-gel method DC reactive sputtering C-V analysis flat band voltage

Targets of immunotherapy for hepatocellular carcinoma: An update

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World Journal of Hepatology 2022年第1期14卷 140-157页

作者： Vikrant Rai sandeep Mukherjee Department of Translational Research Western University of Health SciencesPomonaCA 91766United States Department of Medicine Creighton University School of MedicineOmahaNE 68124United States

Hepatocellular carcinoma,the most common primary liver cancer,in an immunogenic tumor with a poor prognosis because these tumors are diagnosed at late ***,surgical resection,ablation,liver transplant,and locoregional therapies are available for early stages;however,there are yet no effective treatment for advanced and recurrent *** checkpoint inhibitor therapy and adoptive cell transfer therapy has gained the popularity with some positive results because these therapies overcome anergy and systemic immune ***,still there is a lack of an effective treatment and thus there is an unmet need of a novel *** present,the focus of the research is on oncolytic viral therapy and combination therapy where therapies including radiotherapy,immune checkpoint therapy,adoptive cell transfer therapy,and vaccines are combined to get an additive or synergistic effect enhancing the immune response of the liver with a cytotoxic effect on tumor *** review discusses the recent key development,the basis of drug resistance,immune evasion,immune tolerance,the available therapies based on stage of the tumor,and the ongoing clinical trials on immune checkpoint inhibitor therapy,adoptive cell transfer therapy,oncolytic viral vaccine therapy,and combination therapy.

关键词： Hepatocellular carcinoma Immunotherapy Immune checkpoint inhibitors Adoptive cell therapy Oncolytic vaccines Combination therapy