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On COVID-19-safety ranking of seats in intercontinental commercial aircrafts:A preliminary multiphysics computational perspective

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Building Simulation 2021年第6期14卷 1585-1596页

作者： prathamesh S.Desai Nihar Sawant Andrew Keene Mechanical Engineering W.M.Rice UniversityHoustonTXUSA Courant Institute of Mathematical Sciences New York UniversityNew YorkNYUSA Department of Mechanical Engineering Carnegie Mellon UniversityPAUSA

The evolution of coronavirus disease(COVID-19)into a pandemic has severely hampered the usage of public transit *** a post-COVID-19 world,we may see an increased reliance on autonomous cars and personal rapid transit(PRT)systems,with inherent physical distancing,over buses,trains and aircraft for intracity,intercity,and interstate ***,air travel would continue to be the dominant mode of intercontinental transportation for *** this study,we perform a comprehensive computational analysis,using ANSYS Fluent,of typical intercontinental aircraft ventilation systems to determine the seat where environmental factors are most conducive to human comfort with regards to air quality,protection from orally or nasally released pollutants such as CO_(2)and coronavirus,and thermal comfort *** velocity,temperature,and air pollutant concentration emitted from the nose/mouth of fellow travelers are considered for both Boeing and Airbus *** each plane,first class,business class,and economy class sections were *** present conclusions as to which is the optimum seat in each section of each plane and provide the data of the environmental conditions to support our *** findings may be used by the general public to decide which seat to occupy for their next intercontinental ***,the commercial airliners can use such a model to plan the occupancy of the aircraft on long-duration intercontinental flights(viz.,Airbus A380 and Boeing B747).

关键词： COVID-19 airborne coronavirus particles multiphysics simulation indoor air quality thermal comfort intercontinental aircraft

Plasmonic mode mixing in nanoparticle dimers with nm-separations via substrate-mediated coupling

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Nano Research 2014年第9期7卷 1344-1354页

作者： Jesse Theiss Mehmet Aykol prathamesh Pavaskar Stephen B. Cronin Ming Hsieh Department of Electrical Engineering University of Southern California Los Angeles CA 90089 USA

We fabricate arrays of metallic nanoparticle dimers with nanometer separation using electron beam lithography and angle evaporation. These ＂nanogap＂ dimers are fabricated on thin silicon nitride membranes to enable high resolution transmission electron microscope imaging of the specific nanoparticle geometries. Plasmonic resonances of the pairs are characterized by dark-field scattering micro-spectroscopy, which enables the optical scattering from individual nano- structures to be measured by using a spatially-filtered light source to illuminate a small area. Scattering spectra from individual dimers are correlated with transmis- sion electron microscope images and finite-difference time-domain simulations of their electromagnetic response, with excellent agreement between simulation and experiment. We observe a strong polarization dependence with two dominant scattering peaks in spectra taken with the polarization aligned along the dimer axis. This response arises from a unique Fano interference, in which the bright hybridized modes of an asymmetric dimer are able to couple to the dark higher- order hybridized modes through substrate-mediated coupling. The presence of this interference is strongly dependent on the nanoparticle geometry that defines the plasmon energy profile but also on the intense localization of charge at the dielectric surface in the nanogap region for separations smaller than 6 nm.

关键词： plasmonics fano interference transmission electron microscopy (TEM) nanogapdark-field spectroscopy

A systematic survey on deep learning and machine learning approaches of fake news detection in the pre-and post-COVID-19 pandemic

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International Journal of Intelligent Computing and Cybernetics 2021年第4期14卷 617-646页

作者： Rajshree Varma Yugandhara Verma Priya Vijayvargiya prathamesh P.Churi Computer Engineering Narsee Monjee Institute of Management and Higher StudiesMumbaiIndia

Purpose-The rapid advancement of technology in online communication and fingertip access to the Internet has resulted in the expedited dissemination of fake news to engage a global audience at a low cost by news channels,freelance reporters and *** the coronavirus disease 2019(COVID-19)pandemic,individuals are inflicted with these false and potentially harmful claims and stories,which may harm the vaccination *** studies reveal that the human ability to detect deception is only slightly better than chance;therefore,there is a growing need for serious consideration for developing automated strategies to combat fake news that traverses these platforms at an alarming *** paper systematically reviews the existing fake news detection technologies by exploring various machine learning and deep learning techniques pre-and post-pandemic,which has never been done before to the best of the authors’***/methodology/approach-The detailed literature review on fake news detection is divided into three major *** authors searched papers no later than 2017 on fake news detection approaches on deep learning andmachine *** paperswere initially searched through theGoogle scholar platform,and they have been scrutinized for *** authors kept“Scopus”and“Web of Science”as quality indexing *** research gaps and available databases,data pre-processing,feature extraction techniques and evaluationmethods for current fake news detection technologies have been explored,illustrating them using tables,charts and ***-The paper is dissected into two approaches,namely machine learning and deep learning,to present a better understanding and a clear ***,the authors present a viewpoint on which approach is better and future research trends,issues and challenges for researchers,given the relevance and urgency of a detailed and thorough analysis of existing *** paper also delves into fake new detec

关键词： Fake news detection Machine learning Deep learning Artificial intelligence Natural language processing COVID-19 Social media Misinformation

Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit

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Big Data Mining and Analytics 2023年第2期6卷 170-184页

作者： Mohammed G.Albayati Jalal Faraj Amy Thompson prathamesh Patil Ravi Gorthala Sanguthevar Rajasekaran Department of Mechanical Engineering School of EngineeringUniversity of ConnecticutStorrsCT 06269USA Department of Computer Science and Engineering University of ConnecticutStorrsCT 06269USA Department of Mechanical and Industrial Engineering Tagliatela College of EngineeringUniversity of New HavenWest HavenCT 06516USA.

Most heating,ventilation,and air-conditioning(HVAC)systems operate with one or more faults that result in increased energy consumption and that could lead to system failure over ***,most building owners are performing reactive maintenance only and may be less concerned or less able to assess the health of the system until catastrophic failure *** is mainly because the building owners do not previously have good tools to detect and diagnose these faults,determine their impact,and act on *** available fault detection and diagnostics(FDD)tools have been developed to address this issue and have the potential to reduce equipment downtime,energy costs,maintenance costs,and improve occupant comfort and system ***,many of these tools require an in-depth knowledge of system behavior and thermodynamic principles to interpret the *** this paper,supervised and semi-supervised machine learning(ML)approaches are applied to datasets collected from an operating system in the field to develop new FDD methods and to help building owners see the value proposition of performing proactive *** study data was collected from one packaged rooftop unit(RTU)HVAC system running under normal operating conditions at an industrial facility in *** paper compares three different approaches for fault classification for a real-time operating RTU using semi-supervised learning,achieving accuracies as high as 95.7%using few-shot learning.

关键词： semi-supervised machine learning fault classification fault detection and diagnostics heating,ventilation,and air-conditioning data-driven modeling energy efficiency

Clinical outcomes for nasopharyngeal cancer with intracranial extension after taxanebased induction chemotherapy and concurrent chemo-radiotherapy in the modern era

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World Journal of Otorhinolaryngology-Head and Neck Surgery 2020年第1期6卷 25-33页

作者： Sarbani Ghosh-Laskar Avinash Pilar Carlton Johnny Kumar Prabhash Amit Joshi Jai Prakash Agarwal Tejpal Gupta Ashwini Budrukkar Vedang Murthy Monali Swain Vanita Noronha Vijay Maruthi Patil prathamesh Pai Deepa Nair Devendra Arvind Chaukar Shivakumar Thiagarajan Gouri Pantvaidya Anuja Deshmukh Pankaj Chaturvedi Sudhir Nair Anil D’Cruz Department of Radiation Oncology Tato Memorial HospitalHomi Bhobho National InstituteMumbaiIndia Department of Medical Oncology Tata Memorial HospitalHomi Bhobha Notional InstituteMumbaiIndia Department of Surgical Oncolosy Tota Memorial HospitalHomi Bhabha Notional InstituteMumbait India

Objective:To evaluate the survival outcomes for a cohort of nasopharyngeal cancer with intracranial extension(ICE)treated with induction chemotherapy(ICT)followed by chemo-intensity-modulated radiotherapy(CTRT)at a tertiary cancer ***:We retrospectively analyzed 45 patients with histologically proven,non-metastatic NPC with ICE treated at our institute between October 2008 and October *** were classified as minor ICE or major ICE,based on the extent of *** the patients received 2-3 cycles of a taxane-based ICT regimen followed by *** was delivered with"riskadapted"intensity-modulated radiotherapy(IMRT)technique in all ***:After a median follow up of 45 months(range:8-113 months),the estimated 5-year DFS,LRFS,DMFS,and OS of the entire cohort was 58%,82%,67%and 74%*** multivariate analysis,histological subtype was an independent predictor of LRFS,and age was an independent predictor of *** extent of ICE showed only a trend towards worse DFS(P=0.06).None of the factors significantly predicted for DMFS or ***,N-stage,and response to ICT did not significantly affect any of the *** 2 or worse subcutaneous fibrosis was seen in 22%of patients and grade 2 or worse xerostomia was seen in 24%of patients at last follow ***-three percent of the patients developed clinical hypothyroidism at last follow *** of the patients experienced any neurological or vascular ***:Taxane-based induction chemotherapy followed by chemo-intensity modulated radiotherapy resulted in excellent locoregional control and survival with acceptable toxicities in patients of nasopharyngeal cancer with intracranial *** metastasis continues to be the predominant problem in these patients.

关键词： Nasopharyngeal cancer Intracranial extension Clinical outcomes Induction chemotherapy and intensity-modulated radiotherapy