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Hepatocellular carcinoma immune microenvironment and check point inhibitors-current status

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World Journal of Hepatology 2024年第3期16卷 353-365页

作者： Tarana Gupta nikhil sai Jarpula Division of Hepatology Department of MedicinePandit Bhagwat Dayal Sharma Post Graduate Institute of Medical SciencesRohtak 124001HaryanaIndia

Hepatocellular carcinoma(HCC)is the most common primary tumor of the liver and has a high mortality *** Barcelona Clinic Liver Cancer staging system in addition to tumor staging also links the modality of treatment available to a particular *** recent description of the tumor microenvironment(TME)in HCC has provided a new concept of immunogenicity within the *** HCC has been shown to be more immunogenic with higher expression of cytotoxic T lymphocytes and decreased elements for immunosuppression such as regulatory T *** immunogenic milieu provides a better response to immunotherapy especially immune checkpoint inhibitors(ICIs).In addition,the recent data on combining locoregional therapies and other strategies may convert the less immunogenic state of the TME towards higher ***,data are emerging on the use of combinations of locoregional therapy and ICIs in unresectable or advanced HCC and has shown better survival outcomes in this difficult population.

关键词： Hepatocellular carcinoma Tumor immune microenvironment Immune checkpoint inhibitor Atezolizumab Bevacizumab Pembrolizumab

Dynamic Deep Learning for Enhanced Reliability in Wireless Sensor networks: The DTLR-net Approach

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Computers, Materials & Continua 2024年第11期81卷 2547-2569页

作者： Gajjala Savithri n.Raghavendra sai Department of Computer Science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaramAndhra Pradesh522502India Department of Animation Dr.YSR Architecture and Fine Arts UniversityKadapaAndhra Pradesh516162India

In the world of wireless sensor networks(WSns),optimizing performance and extending network lifetime are critical *** this paper,we propose a new model called DTLR-net(Deep Temporal LSTM Regression network)that employs long-short-term memory and is effective for long-term *** sinks can move in arbitrary patterns,so the model employs long short-term memory(LSTM)networks to handle such *** parameters were initialized iteratively,and each node updated its position,mobility level,and other important metrics at each turn,with key measurements including active or inactive node ratio,energy consumption per cycle,received packets for each node,contact time,and interconnect time between nodes,among *** metrics aid in determining whether the model can remain stable under a variety of ***,in addition to focusing on stability and security,these measurements assist us in predicting future node behaviors as well as how the network *** results show that the proposed model outperformed all other models by achieving a lifetime of 493.5 s for a 400-node WSn that persisted through 750 rounds,whereas other models could not reach this value and were significantly *** research has many implications,and one way to improve network performance dependability and sustainability is to incorporate deep learning approaches into WSn dynamics.

关键词： WSn lifetime nodes mobile sinks energy packets security

Impact of Autonomous Vehicles on Parking Spaces

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Journal of Architectural Environment & Structural Engineering Research 2020年第1期3卷 17-23页

作者： nikhil sai Yekollu Kasim A Korkmaz Construction Management Eastern Michigan UniversityYpsilantiMIUnited States School of Visual and Built Environment Eastern Michigan UniversityUnited States

The United States has an enormous supply of parking and with the appropriation of Autonomous vehicles,the interest for these spaces could change *** is among the most pervasive land utilizes involving up to 31%of urban *** completely automated vehicles expected on the customer advertise by 2020,the$30 billion leaving industry will encounter gigantic changes as autos *** purpose of this paper is to analyse how the parking and garage spaces can be utilized after the implementation of automated vehicles in every *** has been conducted about different households in Ypsilanti Township using Zillow application which includes the address,area of the house,parking area and year in which it is *** are based on the analysis conducted on the houses and the impact of the autonomous vehicles on their parking space.

关键词： Structure Garage Household Transit

Effects of Risk Perception on Disaster Preparedness Toward Typhoons:An Application of the Extended Theory of Planned Behavior

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International Journal of Disaster Risk Science 2022年第1期13卷 100-113页

作者： sai Leung ng Graduate Institute of Earth Science Chinese Culture UniversityTaipei 11114TaiwanChina

This study adopted an extended theory of planned behavior to understand how risk perception affected disaster preparedness *** intercept survey(n=286)was conducted at a typhoon-prone district of Hong Kong,China in 2019,then the data were analyzed using structural equation *** results indicated that risk perception and intention of preparedness were predictors of disaster preparedness *** perception significantly affected intention of preparedness and the effect was partially mediated by subjective *** perception also significantly affected attitude and perceived behavioral control,but attitude and perceived behavioral control were not significantly correlated with intention of *** only may this study supplement the existing literature of disaster preparedness toward typhoons,but also it provides insights for the planning and management of natural hazards and disaster risk reduction in Hong Kong,China.

关键词： Disaster preparedness behaviour Hong Kong,China Risk perception Structural equation modelling Theory of planned behaviour Typhoon preparedness

Micromechanical experiments using a new inter-granule loading apparatus on gravel to ballast-sized materials

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Friction 2020年第1期8卷 70-82页

作者： Chitta sai SAnDEEP Kostas SEnETAKIS City University of Hong Kong Hong Kong SARChina

Micromechanical and tribological studies of geological materials with a particular focus on their contact-mechanics behavior at the grain scale are currently a major interest in the engineering and geoscience disciplines. In this study, a new robust micromechanical apparatus developed at the City University of Hong Kong is described;it is capable of conducting inter-granule(or inter-particle) loading tests on fine gravel to ballast-sized materials of sizes as small as 5-10 mm to granules(or ballast) as big as 50 mm. The focus of our study is the description of the major technical features of the new apparatus and its performance and repeatability in conducting experiments on reference grains of chrome steel balls and glass balls;in addition, we conducted a preliminary set of experiments on crushed granitic rock, which is a material widely used in geotechnical and transportation infrastructure. The representative results of these experiments are presented in terms of the normal force-displacement relationship, friction, and tangential stiffness. The newly developed large-size apparatus is further compared with a well-established apparatus that can conduct micromechanical tests on sand-sized materials.

关键词： experimental micromechanics contact mechanics linear bearings inter‐particle friction granite debris flow ballast

Single inoculation with an AM Fungus enhanced growth of Phyllanthus emblica compared to its co-inoculation with plant growth promoting rhizomicroorganisms

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Studies in Fungi 2019年第1期4卷 244-252页

作者： nikhil n Ashwin R Harinikumar KM Bagyaraj DJ Centre for natural Biological Resources and Community Development(CnBRCD) 41 RBI ColonyAnand NagarBangalore 560024KarnatakaIndia CnBRCD 41 RBI ColonyAnand NagarBangalore 560024KarnatakaIndia University of Agricultural Sciences GKVKBangalore-560065KarnatakaIndia

Sustainable agroforestry recommends use of more biologicals including microorganisms for the cultivation of *** officinalis is an important forest tree species commonly used in Indian Ayurvedic medicine for curing several human ailments.A glass house study was conducted to evaluate the effect of inoculation with the arbuscular mycorrhizal fungus(AMF)Claroideoglomus etunicatum and 5 different plant growth promoting rhizomicroorganisms(PGPR)singly and in combination on the growth of Phyllanthus emblica(amla)*** result brought out that single inoculation with AMF *** is the best compared to all other treatments in improving the growth of amla *** performance of this microbial inoculation was later evaluated through large scale forest nursery trials at 3 locations with 500 inoculated and 500 uninoculated amla seedlings at each *** results of the large scale forest nursery trials validated the results of the glass house *** increase in biovolume index(BI)of inoculated plants,which indicates the quality of seedlings,was 49%(average of 3 locations)compared to uninoculated *** inoculated seedlings under large scale nursery trials were planted in wastelands at 2 locations and their establishment was *** BI of inoculated seedlings was 66%more(average of 2 locations)compared to uninoculated seedlings.

关键词： Biovolume index C.etunicatum PGPR

Experimental demonstration of SnO_(2) nanofiber-based memristors and their data-driven modeling for nanoelectronic applications

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Chip 2023年第4期2卷 142-153页

作者： Soumi Saha Madadi Chetan Kodand Reddy Tati sai nikhil Kaushik Burugupally Sanghamitra DebRoy Akshay Salimath Venkat Mattela Surya Shankar Dan Parikshit Sahatiya Department of Electrical&Electronics Engineering Birla Institute of Technology and Science PilaniHyderabad CampusHyderabad 500078India Department of Computer Science and Information Systems Birla Institute of Technology and Science PilaniHyderabad CampusHyderabad 500078India nanomagnetic Division Ceremorphic India Pvt LtdIndia Ceremorphic Inc.San JoseCA 95131USA

This paper demonstrated the fabrication,characterization,datadriven modeling,and practical application of a 1D SnO_(2)nanofiber-based memristor,in which a 1D SnO_(2)active layer wassandwiched between silver(Ag)and aluminum(Al)*** yielded a very high ROFF:ROn of~104(IOn:IOFF of~105)with an excellent activation slope of 10 mV/dec,low set voltage ofVSET~1.14 V and good *** paper physically explained the conduction mechanism in the layered SnO_(2)*** conductive network was composed of nanofibersthat play a vital role in the memristive action,since more conductive paths could facilitate the hopping of electron *** structures experimentally extracted with the adoption of ultraviolet photoelectron spectroscopy strongly support the claimsreported in this *** machine learning(ML)–assisted,datadriven model of the fabricated memristor was also developedemploying different popular algorithms such as polynomialregression,support vector regression,k nearest neighbors,andartificial neural network(Ann)to model the data of the *** have proposed two types of Ann models(type I andtype II)algorithms,illustrated with a detailed flowchart,to modelthe fabricated *** with standard ML techniques shows that the type II Ann algorithm provides the bestmean absolute percentage error of 0.0175 with a 98%R^(2)*** proposed data-driven model was further validated with the characterization results of similar new memristors fabricated adoptingthe same fabrication recipe,which gave satisfactory ***,the Ann type II model was applied to design and implementsimple AnD&OR logic functionalities adopting the fabricatedmemristors with expected,near-ideal characteristics.

关键词： nanofiber-based memristors Data-driven modeling Artificial neural network(Ann) SnO_(2)

Artificial intelligence powered glucose monitoring and controlling system:Pumping module

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World Journal of Experimental Medicine 2024年第1期14卷 100-112页

作者： Sravani Medanki nikhil Dommati Hema Harshitha Bodapati Venkata naga sai Kowsik Katru Gollapalli Moses Abhishek Komaraju nanda sai Donepudi Dhanya Yalamanchili Jasti Sateesh Pratap Turimerla Department of Electronics and Communication Engineering Velagapudi Ramakrishna Siddhartha Engineering CollegeVijayawada 520007Andhra PradeshIndia Department of General Medicine Siddhartha Government Medical CollegeVijayawada 520008Andhra PradeshIndia

BACKGROUnD Diabetes,a globally escalating health concern,necessitates innovative solutions for efficient detection and *** glucose control is an essential aspect of managing diabetes and finding the most effective ways to control *** latest findings suggest that a basal insulin administration rate and a single,highconcentration injection before a meal may not be sufficient to maintain healthy blood glucose *** the basal insulin rate treatment can stabilize blood glucose levels over the long term,it may not be enough to bring the levels below the post-meal limit after 60 *** short-term impacts of meals can be greatly reduced by high-concentration injections,which can help stabilize blood glucose ***,they cannot provide long-term stability to satisfy the postmeal or pre-meal ***,proportional-integral-derivative(PID)control with basal dose maintains the blood glucose levels within the range for a longer *** To develop a closed-loop electronic system to pump required insulin into the patient's body automatically in synchronization with glucose sensor *** The proposed system integrates a glucose sensor,decision unit,and pumping module to specifically address the pumping of insulin and enhance system *** as the intelligence hub,the decision unit analyzes data from the glucose sensor to determine the optimal insulin dosage,guided by a pre-existing glucose and insulin level *** artificial intelligence detection block processes this information,providing decision instructions to the pumping *** with communication antennas,the glucose sensor and micropump operate in a feedback loop,creating a closed-loop system that eliminates the need for manual *** The incorporation of a PID controller to assess and regulate blood glucose and insulin levels in individuals with diabetes introduces a sophisticated and dynamic element to diabetes ***

关键词： Diabetes Hyperglycemia Insulin Micropump Closed loop systems Artificial intelligence automation

Correlation-induced magnetism in substrate-supported 2D metal-organic frameworks

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npj Computational Materials 2022年第1期8卷 2170-2179页

作者： Bernard Field Agustin Schiffrin nikhil V.Medhekar School of Physics and Astronomy Monash UniversityClaytonVIC3800Australia ARC Centre of Excellence in Future Low-Energy Electronics Technologies Monash UniversityClaytonVIC3800Australia Department of Materials Science and Engineering Monash UniversityClaytonVIC3800Australia

Two-dimensional(2D)metal-organic frameworks(MOFs)with a kagome lattice can exhibit strong electron-electron interactions,which can lead to tunable quantum phases including many exotic magnetic *** technological developments of 2D MOFs typically take advantage of substrates for growth,support,and electrical contacts,investigations often ignore substrates and their dramatic influence on electronic ***,we show how substrates alter the correlated magnetic phases in kagome MOFs using systematic density functional theory and mean-field Hubbard *** demonstrate that MOF-substrate coupling,MOF-substrate charge transfer,strain,and external electric fields are key variables,activating and deactivating magnetic phases in these *** we consider the example of kagome-arranged 9,10-dicyanoanthracene molecules coordinated with copper atoms,our findings should generalise to any 2D kagome *** work offers useful predictions for tunable interaction-induced magnetism in surface-supported 2D(metal-)organic materials,opening the door to solid-state electronic and spintronic technologies based on such systems.

关键词： properties materials material