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Multicomponent cyclodextrin system for improvement of solubility and dissolution rate of poorly water soluble drug

Asian Journal of Pharmaceutical Sciences 2019年第1期14卷 104-115页

作者： mayank patel Rajashree Hirlekar Department of Pharmaceutics Bharati Vidyapeeth’s College of PharmacySector-8C.B.D.BelapurNavi Mumbai 400614MaharashtraIndia Department of Pharmaceutical Sciences and Technology Institute of Chemical TechnologyN.P.MargMatungaMumbai 400019India Department of Pharmaceutics VES College of PharmacyHashu Advani Memorial ComplexBehind Collector ColonyChembur(E)Mumbai 400074India

The purpose of the present study was to investigate the interaction of Cinnarizine(CIN)with Hydroxypropyl-β-Cyclodextrin(HPβCD)in the presence of Hydroxy Acids(HA).Various binary and ternary systems of CIN with HPβCD and HA were prepared by kneading and coevaporation *** the ternary systems,HA were tried in three different *** interaction in solution phase was studied in detail by the phase solubility method,and the solid phase interactions were characterized by Fourier Transform Infrared(FTIR)spectroscopy,Differential Scanning Calorimetry(DSC),X-Ray Diffractometry(XRD),Scanning Electron Microscopy(SEM)and Proton Nuclear Magnetic Resonance(^1H-NMR).Phase solubility revealed the positive effect of HA on the complexation of CIN with HPβ*** phase characterization confirmed the formation of inclusion complex in the ternary *** and dissolution studies illustrated that out of three different concentrations tried,HA were most effective at the 1 M concentration *** systems were very effective in improving the solubility as well as dissolution profile of CIN than the CIN–HPβCD binary ***,^1H-NMR and Molecular docking studies gave some insight at molecular level that actually which part of CIN was interacting with the HPβ*** docking and free energy calculation even enlighten the role of tartaric acid in increasing solubility of CIN in the ternary system.

关键词： Cinnarizine Hydroxypropyl-β-cyclodextrin Hydroxy acid Ternary system

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Neuroimaging and artificial intelligence for assessment of chronic painful temporomandibular disorders—a comprehensive review

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International Journal of Oral Science 2023年第4期15卷 575-587页

作者： mayank Shrivastava Liang Ye Adams School of Dentistry University of North CarolinaChapel HillNCUSA Department of Rehabilitation Medicine University of Minnesota Medical SchoolMinneapolisMNUSA

Chronic Painful Temporomandibular Disorders(TMD)are challenging to diagnose and manage due to their complexity and lack of understanding of brain *** the past few decades’neural mechanisms of pain regulation and perception have been clarified by neuroimaging *** in the neuroimaging have bridged the gap between brain activity and the subjective experience of *** has also made strides toward separating the neural mechanisms underlying the chronic painful ***,Artificial Intelligence(AI)is transforming various sectors by automating tasks that previously required humans’intelligence to *** has started to contribute to the recognition,assessment,and understanding of painful *** application of AI and neuroimaging in understanding the pathophysiology and diagnosis of chronic painful TMD are still in its early *** objective of the present review is to identify the contemporary neuroimaging approaches such as structural,functional,and molecular techniques that have been used to investigate the brain of chronic painful TMD ***,this review guides practitioners on relevant aspects of AI and how AI and neuroimaging methods can revolutionize our understanding on the mechanisms of painful TMD and aid in both diagnosis and management to enhance patient outcomes.

关键词： diagnosis artificial separating

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IQR-based approach for DDoS detection and mitigation in SDN

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Defence Technology（防务技术） 2023年第7期25卷 76-87页

作者： Rochak Swami mayank Dave Virender Ranga Department of Computer Engineering National Institute of TechnologyKurukshetraIndia Department of Information Technology Delhi Technological UniversityDelhiIndia

Software-defined networking(SDN) is a trending networking paradigm that focuses on decoupling of the control logic from the data plane. This decoupling brings programmability and flexibility for the network management by introducing centralized infrastructure. The complete control logic resides in the controller, and thus it becomes the intellectual and most important entity of the SDN infrastructure. With these advantages, SDN faces several security issues in various SDN layers that may prevent the growth and global adoption of this groundbreaking technology. Control plane exhaustion and switch buffer overflow are examples of such security issues. Distributed denial-of-service(DDoS) attacks are one of the most severe attacks that aim to exhaust the controller’s CPU to discontinue the whole functioning of the SDN network. Hence, it is necessary to design a quick as well as accurate detection scheme to detect the attack traffic at an early stage. In this paper, we present a defense solution to detect and mitigate spoofed flooding DDoS attacks. The proposed defense solution is implemented in the SDN controller. The detection method is based on the idea of an statistical measure — Interquartile Range(IQR). For the mitigation purpose, the existing SDN-in-built capabilities are utilized. In this work, the experiments are performed considering the spoofed SYN flooding attack. The proposed solution is evaluated using different performance parameters, i.e., detection time, detection accuracy, packet_in messages, and CPU utilization. The experimental results reveal that the proposed defense solution detects and mitigates the attack effectively in different attack scenarios.

关键词： SDN DdoS IQR Controller CPU utilization Packet_in

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The correlation between friction coefficient and areal topography parameters for AISI 304 steel sliding against AISI 52100 steel

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Friction 2021年第1期9卷 41-60页

作者： Deepak K.PRAJAPATI mayank TIWARI Department of Mechanical Engineering Indian Institute of TechnologyPatna 801103India

Dry wear experiments provide an insight detail on how severely contacting surfaces change under unlubricated sliding condition. The theory of dry sliding wear is used for understanding mixed-lubrication regime in which asperity interactions play a significant role in controlling of the friction coefficient(f). The purpose of this work is to study the tribological behavior of AISI 304 steel in contact with AISI 52100 steel during wear. Both materials are used in rolling element bearings commanly. Experiments are carried out using a pin-on-disc tribometer under dry friction condition. The areal(three dimensional, 3D) topography parameters are measured using a 3D white light interferometer(WLI) with a 10× objective. After wear tests, wear mechanisms are analyzed utilizing scanning electron microscope(SEM). Factorial design with custom response surface design(C-RSD) is used to study the mutual effect of load and speed on response variables such as f and topography parameters. It is observed that the root mean square roughness(S_(q)) decreases with an increase in sliding time. Within the range of sliding time, S_(q) decreases with an increase in the normal load. Within the range of sliding speed and normal load, it is found that S_(q), mean summit curvature(S_(sc)), and root mean square slope(S_(dq)) are positively correlated with f. Whereas, negative correlation is found between f and correlation length(Sal), mean summit radius(R), and core roughness depth(S_(k)).

关键词： friction coefficient(f) areal topography parameters factorial design non-contact optical profiler scanning electron microscope(SEM)

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Discrete Event System Framework for Fault Diagnosis with Measurement Inconsistency:Case Study of Rogue DHCP Attack

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IEEE/CAA Journal of Automatica Sinica 2019年第3期6卷 789-806页

作者： mayank Agarwal Santosh Biswas Sukumar Nandi IEEE the Department of Computer Science and Engineering Indian Institute of Technology Guwahati

Fault detection and diagnosis(FDD) facilitates reliable operation of systems. Various approaches have been proposed for FDD like Analytical redundancy(AR), Principal component analysis(PCA), Discrete event system(DES) model etc., in the literature. Performance of FDD schemes greatly depends on accuracy of the sensors which measure the system *** to various reasons like faults, communication errors etc.,sensors may occasionally miss or report erroneous values of some system parameters to FDD engine, resulting in measurement inconsistency of these parameters. Schemes like AR, PCA etc.,have mechanisms to handle measurement inconsistency, however,they are computationally heavy. DES based FDD techniques are widely used because of computational simplicity, but they cannot handle measurement inconsistency efficiently. Existing DES based schemes do not use Measurement inconsistent(MI)parameters for FDD. These parameters are not permanently unmeasurable or erroneous, so ignoring them may lead to weak diagnosis. To address this issue, we propose a Measurement inconsistent discrete event system(MIDES) framework, which uses MI parameters for FDD at the instances they are measured by the sensors. Otherwise, when they are unmeasurable or erroneously reported, the MIDES invokes an estimator diagnoser that predicts the state(s) the system is expected to be in, using the subsequent parameters measured by the other sensors. The efficacy of the proposed method is illustrated using a pumpvalve system. In addition, an MIDES based intrusion detection system has been developed for detection of rogue dynamic host configuration protocol(DHCP) server attack by mapping the attack to a fault in the DES framework.

关键词： Fault diagnosis instrasion detection system (IDS) measurement inconsistent discrete event system (DES) rogue dynamic host configuration protocol (DHCP) server

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Measuring turbulence in a circulating fluidized bed using PIV techniques

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Particuology 2011年第6期9卷 572-588页

作者： mayank Kashyap Benjapon Chalermsinsuwan Dimitri Gidaspow Department of Chemical and Biological Engineering Illinois Institute of Technology Fuel Research Center Department of Chemical Technology Faculty of Science Chulalongkorn University Center of Excellence for Petroleum Petrochemicals and Advanced Materials Chulalongkorn University

This study utilized the particle image velocimetry （P1V） technique, non-invasively near the wall, in the developing region, for the measurements of laminar and turbulent properties during circulation of Geldart B type particles in the U.S. Department of Energy （DOE） National Energy Technology Laboratory （NETL） riser. A novel method was used to measure axial and radial laminar and turbulent solids dispersion coefficients using autocorrelation technique. The instantaneous and hydrodynamic velocities for the solid phase were measured simultaneously in the axial and radial directions using a CCD camera, with the help of a colored rotating transparency. The measured properties, such as laminar and Reynolds stresses, laminar and turbulent granular tempera- tures, laminar and turbulent dispersion coefficients and energy spectra exhibited anisotropy. The mixing in the riser was on the level of clusters. The total granular temperatures were in reasonable agreement with the literature values. However, the axial and radial solids dispersion coefficients measured near the wall were slightly lower than the radially averaged values in the literature.

关键词： Particle image velocimetry (PIV) Dispersion coefficient Autocorrelation Turbulence Anisotrnpy

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A comprehensive review on biomarkers associated with painful temporomandibular disorders

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International Journal of Oral Science 2021年第3期13卷 230-242页

作者： mayank Shrivastava Ricardo Battaglino Liang Ye Department of Diagnostic and Biological Sciences School of DentistryUniversity of MinnesotaMinneapolisMNUSA Department of Rehabilitation Medicine Medical SchoolUniversity of MinnesotaMinneapolisMNUSA

Pain of the orofacial region is the primary complaint for which patients seek *** all the orofacial pain conditions,one condition that possess a significant global health problem is temporomandibular disorder(TMD).Patients with TMD typically frequently complaints of pain as a *** can occur due to complex interplay between peripheral and central sensitization,endogenous modulatory pathways,and cortical *** diagnosis of TMD pain a descriptive history,clinical assessment,and imaging is ***,due to the complex nature of pain an additional step is needed to render a definitive TMD *** this review we explicate the role of different biomarkers involved in painful *** painful TMD conditions,the role of biomarkers is still *** believe that the identification of biomarkers associated with painful TMD may stimulate researchers and clinician to understand the mechanism underlying the pathogenesis of TMD and help them in developing newer methods for the diagnosis and management of ***,to understand the potential relationship of biomarkers,and painful TMD we categorize the biomarkers as molecular biomarkers,neuroimaging biomarkers and sensory *** addition,we will briefly discuss pain genetics and the role of potential microRNA(miRNA)involved in TMD pain.

关键词： diagnosis endogenous facial

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Fear of missing out: A brief overview of origin, theoretical underpinnings and relationship with mental health

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World Journal of Clinical Cases 2021年第19期9卷 4881-4889页

作者： mayank Gupta Aditya Sharma Clarion Psychiatric Center and Department of Child and Adolescent Psychiatry Lake Erie College of Osteopathic MedicineClarionPA 16214United States Department of Neuroscience University of PittsburghPittsburghPA 15213United States

Fear of missing out(FoMO)is a unique term introduced in 2004 to describe a phenomenon observed on social networking *** includes two processes;firstly,perception of missing out,followed up with a compulsive behavior to maintain these social *** are interested in understanding the complex construct of FoMO and its relations to the need to belong and form stable interpersonal *** is associated with a range of negative life experiences and feelings,due to it being considered a problematic attachment to social *** have provided a general review of the literature and have summarized the findings in relation to mental health,social functioning,sleep,academic performance and productivity,neuro-developmental disorders,and physical *** have also discussed the treatment options available for FoMo based on cognitive behavior *** imperative that new findings on FoMO are communicated to the clinical community as it has diagnostic implications and could be a confounding variable in those who do not respond to treatment as usual.

关键词： Fear of missing out Mental health Physical well-being Academic performance Fear of missing out-reduction Problematic social media

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Intrusion Detection System for PS-Poll DoS Attack in 802.11 Networks Using Real Time Discrete Event System

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IEEE/CAA Journal of Automatica Sinica 2017年第4期4卷 792-808页

作者： mayank Agarwal Sanketh Purwar Santosh Biswas Sukumar Nandi IEEE Department of Computer Science and Engineering ⅡT Guwahati HP PPS R&D Lab in Bangalore

Wi-Fi devices have limited battery life because of which conserving battery life is imperative. The 802.11 Wi-Fi standard provides power management feature that allows stations(STAs) to enter into sleep state to preserve energy without any frame losses. After the STA wakes up, it sends a null data or PS-Poll frame to retrieve frame(s) buffered by the access point(AP), if any during its sleep period. An attacker can launch a power save denial of service(PS-DoS) attack on the sleeping STA(s) by transmitting a spoofed null data or PS-Poll frame(s) to retrieve the buffered frame(s) of the sleeping STA(s) from the AP causing frame losses for the targeted STA(s). Current approaches to prevent or detect the PS-DoS attack require encryption,change in protocol or installation of proprietary hardware. These solutions suffer from expensive setup, maintenance, scalability and deployment issues. The PS-DoS attack does not differ in semantics or statistics under normal and attack *** signature and anomaly based intrusion detection system(IDS) are unfit to detect the PS-DoS attack. In this paper we propose a timed IDS based on real time discrete event system(RTDES) for detecting PS-DoS attack. The proposed DES based IDS overcomes the drawbacks of existing systems and detects the PS-DoS attack with high accuracy and detection rate. The correctness of the RTDES based IDS is proved by experimenting all possible attack scenarios.

关键词： Fault detection and diagnosis intrusion detection system(IDS) null data frame power save attack PS-Poll frame real time discrete event system(DES)

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High-throughput discovery of high Curie point two-dimensional ferromagnetic materials

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npj Computational Materials 2020年第1期6卷 1381-1389页

作者： Arnab Kabiraj mayank Kumar Santanu Mahapatra Nano-Scale Device Research Laboratory Department of Electronic Systems EngineeringIndian Institute of Science(IISc)BangaloreBangalore 560012India

Databases for two-dimensional materials host numerous ferromagnetic materials without the vital information of Curie temperature since its calculation involves a manually intensive complex *** this work,we develop a fully automated,hardwareaccelerated,dynamic-translation based computer code,which performs first principles-based computations followed by Heisenberg model-based Monte Carlo simulations to estimate the Curie temperature from the crystal *** employ this code to conduct a high-throughput scan of 786 materials from a database to discover 26 materials with a Curie point beyond 400 *** rapid data mining,we further use these results to develop an end-to-end machine learning model with generalized chemical features through an exhaustive search of the model space as well as the *** discover a few more high Curie point materials from different sources using this data-driven *** material informatics,which agrees well with recent experiments,is expected to foster practical applications of two-dimensional magnetism.

关键词： structure process ferromagnetic

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