479 research outputs found
sj-docx-1-acr-10.1177_02841851221124669 - Supplemental material for Chemotherapy response evaluation using diffusion weighted MRI in Ewing Sarcoma: A single center experience
No full textSupplemental material, sj-docx-1-acr-10.1177_02841851221124669 for Chemotherapy response evaluation using diffusion weighted MRI in Ewing Sarcoma: A single center experience by Esha Baidya Kayal, Jayendra Tiru Alampally, Raju Sharma, Sameer Bakhshi, Amit Mehndiratta, Rakesh Kumar, SH Chandrashekhara, Manisha Jana, Ashu Seith Bhalla, Mehar Chand Sharma, Asit Ranjan Mridha, Sreenivas Vishnubhatla and Devasenathipathy Kandasamy in Acta Radiologica</p
Investment protection a must in India-UK FTA
No full textThe India-UK investment relationship is no more a one-way street. In 2020, the stock of foreign direct investment from India in the UK was £10.6 billion as against £14.9 billion from the UK in India
A priori and a posteriori analysis of the hybrid two-level large-eddy simulation method for high Reynolds number complex flows
No full textWe present a priori and a posteriori analysis of the assumptions and predictions of the hybrid two-level large-eddy simulation (TLS-LES) method for high Reynolds number complex flows. The TLS-LES methodology is a multi-scale framework for simulation of turbulent flows in complex configurations at practically relevant Reynolds number. It additively combines the two-level simulation (TLS) model with a conventional large-eddy simulation (LES) approach by employing a static or dynamic blending function. In the present study, first we analyze the model assumptions employed by the TLS model to obtain the small-scale solution necessary for closure of the large-scale equations. Afterward, we analyze the large-scale and small-scale solutions to assess the predictive ability of the multi-scale framework for specific turbulence physics such as role of forward and backscatter of energy and presence of co- and counter-gradient diffusion. To perform these investigations, we consider cases with increasing degree of geometrical complexity, namely, flow in a periodic channel, flow past a bump placed on the lower surface of the channel and flow past a finite-span NACA0015 airfoil
Maximum air suction into horizontal open ended cylindrical louvered pipe
No full textThe main approach behind the present numerical investigation is to estimate the
mass flow rate of air sucked into a horizontal open-ended louvered pipe from
the surrounding atmosphere. The present numerical investigation has been
performed by solving the conservation equations for mass, momentum and
energy along with two equation based k-? model for a louvered horizontal
cylindrical pipe by finite volume method. It has been found from the numerical
investigation that mass suction rate of air into the pipe increases with increase
in louvered opening area and the number of nozzles used. Keeping other
parameters fixed, for a given mass flow rate there exists an optimum protrusion
of nozzle for highest mass suction into the pipe. It was also found from the
numerical investigation that increasing the pipe diameter the suction mass flow
rate of air was increased
Numerical investigation of maximum air entrainment into cylindrical louvered pipe
No full textThe main approach behind the present numerical investigation is to estimate the air flow
rate into the pipe through the louvers from the atmosphere. The present numerical
investigation has been performed by solving conservation equations of mass, momentum,
and energy along with two equation-based k-? models for a louvered horizontal
cylindrical pipe by the finite volume method. The existing experimental results of a wall
constraint jet have been matched with the numerical results. The numerical computations
show that the air suction rate into the pipe increased with the increase in the louvers
opening area and number of nozzles used. With all other parameters remain fixed, an
optimum protrusion of the nozzle was found where the suction rate was found to be the
highest for a given nozzle flow rate. It was also found from the numerical investigation
that there exists an optimum pipe diameter corresponding to the three times of nozzle
diameter where the maximum air suction rate was achieved
International Outsourcing Hurdles in Value-added Services
Get PDFPurpose: International Outsourcing has been traditionally looked upon as a low end cost effective servicing option to take advantage of the cost arbitrage that exists across countries. Of late, many outsourcing vendors have realized that the advantages of cost differentials that spurred a lot of the global outsourcing business in the past 20 years will disappear in the medium term. This paper provides a perspective about how much value addition, besides cost, traditional outsourcing vendors can provide and what may be the facilitator/ inhibitors of such activities. Approach: To substantiate the claim, a brief case describing the setting up of an offshore analytics operation is presented which gives a back drop to the challenges faced in relatively high end value creation processes in a remote outsourced environment. Findings/Claim: The author uses the case to develop a conceptual model of off shoring value –added services. The key dimensions that will determine the extent to which international outsourcing of high end services will take place are: 1) Expertise of the vendor, 2) Environmental Stability of the Outsourcing Domain, 3) Physical Barriers to outsourcing complex business processes such as, Communication Problems and Proximity issues, 4) Possibility of Knowledge Leakage from Outsourcing Domain and, 5) Cost Benefits of Outsourcing. Practical Implications: The author contends that conventional outsourcing vendors may find it difficult to acquire “Expert Power” and, set aside negative perceptions of “Environmental Stability” of their domain, in the pursuit to climb up the value chain in their client organizations. The validation of the proposed model is an opportunity for future research. Originality: This paper is one of the first to present a model that will govern the growth of international outsourcing opportunities in high end value-added processes.
Computational analysis of planar wings designed for optimum span-load
Get PDFA computational analysis of three span-optimized wings was conducted using an open-source CFD tool. Simulations were carried out at Rec = 450; 000 in a semi-spherical domain consisting of unstructured tetrahedra close to the wing surface and pyramids in the farfield region. Simulations were carried out in both steady state and semi-transient states to predict ow transition. A comparative study of different turbulence models revealed k-omega-SST and k - kL-omega to be the most suitable turbulence models for this study. The model accuracy was determined using validations with experimental data from a previous study. The required accuracy was achieved using the most appropriate mesh resolution for all three wing designs and second order discretization schemes. Computational results indicated different drag characteristics between the three span-load optimized wings at the design CL. The Viscous Optimized Wing produced the minimum drag while the Elliptic Wing produced the largest drag at design CL. The Inviscid Optimized Wing had the largest aspect ratio but still produced lesser drag when compared to the Elliptical Wing. Surface ow visualization indicated different ow transition characteristics for the three wings. These differences were attributed to the twist distributions specific to each wing. The Inviscid Optimized wing was observed to have largest laminar boundary-layer region at design angle of attack. Qualitative wake analysis indicated different wake characteristics for each wing, attributed to the different span-loads. The Elliptic Wing had the most aggressive wake roll-up. Much lesser wake roll-up was observed for the Inviscid and Viscous Optimized Wings. The largest wake cross-section was observed for the Elliptic Wing, while the smallest wake cross-section was observed for the Inviscid Optimized Wing.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-08-01The student, Prateek Ranjan, accepted the attached license on 2016-07-22 at 11:12.The student, Prateek Ranjan, submitted this Thesis for approval on 2016-07-22 at 11:25.This Thesis was approved for publication on 2016-07-22 at 16:28.DSpace SAF Submission Ingestion Package generated from Vireo submission #10076 on 2016-11-10 at 12:27:41Made available in DSpace on 2016-11-10T18:35:38Z (GMT). No. of bitstreams: 2
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 95403
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 95403
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 95403
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 95403 on 2018-11-11T10:15:32Z
Hyperspectral Image Classification Using K-means Clustering
Get PDFHyperspectral Image stores the reflectance of objects across the electromagnetic spectrum. Each object is identified by its spectral signature. Hyperspectral Sensors records these images from airborne devices. By processing these Images we can get various information about the land-form, seabed etc. This thesis presents an efficient and accurate classification technique for Hyperspectral Images. The approach consists of three steps. Firstly, dimension reduction of the Hyperspectral Image using Principal Component Analysis. This is done in order to reduce the time complexity of the further process. Secondly, the reduced features are clustered by k-means clustering. Lastly, the clusters are individually trained by Support Vector Machine. This scheme was tested with Pavia University Data-set taken by ROSIS sensor. Using the above scheme overall accuracy of 90.2% was achieved which is very promising in comparison to conventional Support Vector Machine classification which had an overall accuracy of 78.67% with the same data-set
FDI Spillovers, Innovation and the Role of Industrial Clusters: Evidence from Innovative Indian Manufacturing Firms
No full text© 2025, Elsevier B.V. The attached document (embargoed until 08/09/2026) is an author produced version of a paper published in Economic Modelling uploaded in accordance with the publisher’s self-archiving policy. The final published version (version of record) is available online at the link. Some minor differences between this version and the final published version may remain. We suggest you refer to the final published version should you wish to cite from it
Cultural Insights to Justice: A Theoretical Perspective Through A Subjective Lens
No full textDistributive, procedural, and interactional justice are constructs that are increasingly being recognized as important factors that affect individual perceptions in the workplace environment. This paper presents a theoretical perspective that suggests that justice is perceived through a subjective lens that consists of individualized beliefs and proposes that cultural attributes and demographic characteristics play an integral part in determining the perception of justice. The distinctions between these three constructs are presented in context with the core beliefs of individual employees ? affected by a multitude of perceptual and demographic factors that we briefly identify herein. Based on the theoretical perspective, scales that measure the constructs of justice as perceived by individuals was developed. With a focus on justice within the business setting, hypotheses about attitudes related to justice were tested. Survey results confirm that the three constructs of justice are distinct but correlated. Significant differences were found in the perceptions of African-American respondents with regard to procedural justice. Although the empirical findings do not support all the hypotheses, this research highlights the need for further development of measures to assess the perception of justice in business settings and at an applied level, underscores the importance of recognizing cultural attributes and demographic characteristics in understanding how justice is perceived.
Request a copy of the paper from the author: Ranjan Karri ([email protected]
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