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Navigating breast cancer brain metastasis:Risk factors,prognostic indicators,and treatment perspectives

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World Journal of Clinical Oncology 2024年第5期15卷 594-598页

作者： Jayalingappa Karthik Amit Sehrawat mayank Kapoor Deepak Sundriyal Department of Medical Oncology Haematology All India Institute of Medical Sciences RishikeshRishikesh 249203UttarakhandIndia

In this editorial,we comment on the article by Chen et *** specifically focus on the risk factors,prognostic factors,and management of brain metastasis(BM)in breast cancer(BC).BC is the second most common cancer to have BM after lung *** risk factors for BM in BC are:HER-2 positive BC,triplenegative BC,and germline BRCA *** factors associated with BM are lung metastasis,age less than 40 years,and African and American *** though risk factors associated with BM in BC are elucidated,there is a lack of data on predictive models for BM in *** studies have been made to formulate predictive models or nomograms to address this issue,where age,grade of tumor,HER-2 receptor status,and number of metastatic sites(1 vs>1)were predictive of BM in metastatic ***,none have been used in clinical *** Comprehensive Cancer Network recommends screening of BM in advanced BC only when the patient is symptomatic or suspicious of central nervous system symptoms;routine screening for BM in BC is not recommended in the *** decreases the quality of life and will have a significant psychological *** studies are required for designing validated nomograms or predictive models for BM in BC;these models can be used in the future to develop treatment approaches to prevent BM,which improves the quality of life and overall survival.

关键词： Breast cancer Brain metastasis HER2 positive Metastatic breast cancer Risk factors,Predictive models

Tumor infiltrating lymphocytes in gastric cancer:Unraveling complex interactions for precision medicine

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World Journal of Clinical Oncology 2024年第4期15卷 478-481页

作者： mayank Kapoor Amit Sehrawat Jayalingappa Karthik Deepak Sundriyal Department of Medical Oncology Haematology All India Institute of Medical Sciences RishikeshRishikesh 249203India

This editorial will focus on tumor immunity and the factors that alter the tumor immune *** role of tumor infiltrating lymphocytes(TILs)will also be discussed in detail,including the types,mechanism of action,and *** cancer(GC)often presents in the advanced stage and has various factors predicting the *** interplay of these factors and their correlation with the TILs is discussed.A literature review revealed high intratumoral TILs associated with higher grade,HER2-,and Helicobacter pylori ***,stromal(ST)TILs correlated with lower grade and lesser recurrence risk in *** TILs in ST and invasive border also correlated with mismatch repair deficiency *** characterization of the CD3+,CD8+,and other cells is also *** the future,this complex correlation of cancer cells with the immune system can be explored for therapeutic avenues.

关键词： Tumor infiltrating lymphocytes Gastric cancer Helicobacter pylori HER-2-neu

Geochemistry and mineralogy of beach sediments in the northern Gulf of Mexico,Tamaulipas state,Mexico:implication for provenance

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Journal of Palaeogeography 2024年第3期13卷 375-400页

作者： mayank shuk.a Sanjeet K.Verma Mayla A.Ramos-Vázquez John S.Armstrong-Altrin Karla R.Hernández-Martínez Sumit Mishra Vivek P.Malviya Héctor Hernández-Mendoza Posgrado de la Division de Geociencias Aplicadas Instituto Potosino de Investigacion Científica y Tecnologica(IPICYT)Camino a la Presa San José2055San Luis Potosí78216Mexico Division de Geociencias Aplicadas Instituto Potosino de Investigación Científica y Tecnologica(IPICYT)Camino a la Presa San Jose 2055San Luis Potosí78216Mexico Universidad Nacional Autonoma de México Instituto de Ciencias del Mar y LimnologíaUnidad de ProcesosOceanicos y CosterosCiudad UniversitariaCiudad de México 04510Mexico Department of Marine Sciences Bharathidasan UniversityTiruchirappalli620024Tamil NaduIndia Instituto de Geociencias Universidad Nacional Autonoma de MéxicoBoulevard Juriquilla 300176230JuriquillaQueretaroMexico Department of Applied Geology Dr.Harisingh Gour Central UniversitySagar470002Madhya PradeshIndia Instituto de Investigacion de Zonas Desérticas Universidad Autònoma de San Luis PotosíAltair 200CP 78377San LuisS.L.P.Mexico Universidad del Centro de Mexico Capitán Caldera 75CP 78250San LuisS.L.P.Mexico

Geochemical and mineralogical studies were performed in the La Pesca(LP)and Tesoro Altamira(TA)beach sediments,located in the Tamaulipas state,northern Gulf of *** main aim of this study is to infer the weathering history and provenance and to discriminate the tectonic environment of the beach *** sediments are composed of quartz with small amounts of accessory minerals such as plagioclase,calcite,orthoclase,microcline,and *** beach sediments are classified as fine-grained and very well sorted,however LP has coarse skewed and leptokurtic sediments,whereas TA has fine-skewed and very leptokurtic *** chemical index of weathering(CIW’)indicates intense weathering in the source *** quartz grain microtextures in the LP and TA are classified into mechanical,chemical,and mechanical/chemical *** features such as fractures,pits,percussion marks,abrasion fatigue,and V-shaped marks favor high-energy littoral,fluvial,subaqueous-marine,and aeolian *** chemical features indicate solution pits and crystalline overgrowth,which suggests a silica saturated marine *** mechanical/chemical features display adhering particles and elongated depressions suggest formation in a sub-aqueous nearshore marine *** and trace elements-based provenance discrimination diagrams indicate a felsic source derived from the Mesa Central(MC),Sierra Madre Oriental(SMOr)and Oaxaquia *** major and trace element concentrations imply a passive margin setting for the northern Gulf of Mexico,which is consistent with the general geology.

关键词： Beach sediments Geochemistry Mineralogy Provenance Tamaulipas Tectonic setting

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

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

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)

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

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

Aggregate Engineering in Supramolecular Polymers via Extensive Non-covalent Networks

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Chinese Journal of Polymer Science 2021年第10期39卷 1310-1318,I0007页

作者： Xin Huang Dong Lv Li-Qing Ai shuk Han Cheng Xi Yao Department of Biomedical Sciences City University of Hong KongHong Kong 999077China City University of Hong Kong Shenzhen Research InstituteShenzhen 518075China

Aggregate engineering of non-covalent networks endows supramolecular polymers with thermo-mechanical versatility,stimuli-responsive phase transitions and intrinsic damage-healing ***,most non-covalent networks are vulnerable at elevated temperatures,which suppresses the robustness of supramolecular ***,ureidocytosine(UCy)motifs,which are capable of forming extensive non-covalent networks and thus robust molecular aggregates via multivalent hydrogen bonds and aromatic stackings,are proposed to enable precise programming of the thermo-mechanical *** simulations reveal that the enthalpic contributions from the UCy aggregates play dominant roles to compensate the entropic loss from the redistributions of polymeric spacers and stabilize the non-covalent networks over wide temperature *** aggregate-level strategy offers prospects for applications which require thermo-mechanical versatility of supramolecular polymers,such as 3D printing,microfabrication and damage-healing coating.

关键词： Aggregate engineering Damage-healing Extensive non-covalent network Ureidocytosine Supramolecular polymers