502 research outputs found
sj-docx-1-aan-10.1177_02184923231171493 - Supplemental material for Machine learning algorithms for population-specific risk score in coronary artery bypass grafting
No full textSupplemental material, sj-docx-1-aan-10.1177_02184923231171493 for Machine learning algorithms for population-specific risk score in coronary artery bypass grafting by Abhyuday Kumara Swamy, Vivek Rajagopal, Deepak Krishnan, Paramita Auddya Ghorai, Santhosh Rathnam Palani and Pradeep Narayan in Asian Cardiovascular and Thoracic Annals</p
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Relational Care - with Mary Larkin and Manik Deepak-Gopinath [Podcast]
No full textWhat is 'relational care' and how can it improve the day-to-day experience of carers and those they care for? What are its implications for relationships between staff and service users in care settings? And how does the concept of relational care enable us to re-imagine the role of place and space in the experience of care? These are some of the questions we explore in this episode with Mary Larkin and Manik Deepak-Gopinath who recently completed a research project on the value and practice of relational care with older people.
Mary is Professor of Care, Carers and Caring at The Open University in the UK, where her research has focused on carers and caring and adult social care. She is the co-author, most recently of Family Carers and Caring, published in 2023 by Emerald. Manik is a Lecturer in Ageing, also at The Open University, and is a critical gerontologist with interests in the intersection of ageing, place and wellbeing, and in the intimate and family ties of older adults
My Name Is Deepak
No full textThis chapter looks at the author's responses to being given a nickname by his co-workers: Tupac. They do it in a friendly manner, but the author doesn’t understand the connection with the American rapper. It makes him think about who he is, his identity, and how people see him in his adopted country.</p
Sideffective - system to mine patient reviews: sentiment analysis
No full textSideffective is the system to crawl, rank and analyze patient testimonials about side ffeects from common medications. Since the wealth of any mining model is the Data corpus, the data collection phase involved extensive crawling of massive medical websites comprised of user forums from the internet. Subsequently, the raw files were subjected to certain site-specific parsing routines, yielding outputs conforming to a well-defined data model. Currently, the system holds close to 400,000 user testimonials pertaining to more than 2500 drugs/medicines. Sideffective aims at gathering and aggregating this wealth of information, build useful associations and present interesting observations and numeric validations, all in a user-friendly interface. The important issues that we have tried to tackle are: Extracting side effects without relying on pre-built lists, aggregating distribution of different side effect for a give drug, site-specific search, ranking and determining the negativity of reviews. The system has been jointly built by Deepak Yalamanchi and Sangeetha Rajagopalan under the guidance of Prof. Tomasz Imielinski. This thesis focuses mainly on Sentiment Analysis of patient reviews. While most existing sentiment analysis systems are predicated by POS (parts of speech) tagging or Bayesian sentiment analysis methods, the same cannot be applied to medical reviews as they generally carry a negative flavor in them. We thereby approached the problem by identifying the features in the sentence and calibrating the sentiment on a Negativity Meter based on their relation to sentiment words. A feature, as defined for the purpose of this thesis, can be a medicine, a side effect or a symptom. The sentiment of each feature is determined by the aggregate of all its polarities with respect to each sentiment word, where the polarity is determined by an inverse relation to the distance of the feature from the sentiment word. Each sentence is then evaluated by the cumulative polarity of all the features contained in it. Sentiment of a review is determined by individually determining the sentiment of each sentence and then getting a weighted sum score of all the sentences in the review. The accuracy of a sentiment analysis system is, in principle, how well it agrees with human judgments. Experimental results, involving human reviewers (extracted from site: www.askapatient.com) and correlating them back to the negativity rating of each review yield conclusive results, demonstrating the effectiveness of the technique. We have also implemented a customized Lucene search on the data using a multi-review summarization approach and a ranking scheme based on the feature-list. Ranking priority is given to the review that has the largest feature list size.M.S.Includes bibliographical referencesby Deepak Yalamanch
Smartphone for retinal imaging – Case series in resource-limited rural settings
No full textPurpose: There is a clinical need for a cost-effective, reliable, easy-to-use, and portable retinal photography. The use of smartphone fundus photography for documentation of retinal changes in resource-limited settings, where retinal imaging was not previously possible, is studied here. The introduction of smartphone-based retinal imaging has resulted in the increase in available technologies for fundus photography. On account of the cost, fundus cameras are not readily available in ophthalmic practice in developing countries. Because smartphones are readily available, easy to use, and also portable, they present a low-cost alternative method in resource-limited settings. The aim is to explore the use of smartphones (iphones) for retinal imaging in resource-limited settings. Methods: A smartphone (iphone) was used to acquire retinal images with the use of +20 D lens in patients with dilated pupils by activating the video mode of the camera. Results: Clear retinal images were obtained in different clinical conditions in adults and children, including branch retinal vein occlusion with fibro-vascular proliferation, choroidal neo-vascular membranes, presumed ocular toxoplasmosis, diabetic retinopathy, retinoblastoma, ocular albinism, and hypertensive retinopathy. Conclusion: New inexpensive, portable, easy-to-operate cameras have revolutionized retinal imaging and screening programs and play an innovative role in research, education, and information sharing
Role of Mint family of Proteins in the nanoscale localization and real-time retention of surface Amyloid Precursor
No full textAmyloid beta, a key determinant in the pathology of Alzheimer's disease (AD), is formed by the sequential proteolysis of Amyloid Precursor Protein (APP) by β-and γ-secretase. Evidence over the last few decades indicates that synaptic dysfunction and loss is an early event in AD that correlates with amyloid production in the whole brain and at the synaptic level. Though not well understood, previous reports have shown that APP retention at the synaptic membrane undergoes a non-amyloidogenic pathway. On the contrary, the internalization of APP at the endocytic zones leads to enhanced amyloid-beta production. Therefore, it is vital to understand the molecular parameters that control the localization and trafficking of APP at these functional zones of synaptic compartments and how this could be regulated. The organization and trafficking of molecules to functional zones of synapses result from the coordination of several regulatory steps and is tightly controlled. APP shows the heterogeneous distribution in the neuronal processes, indicating differential regulation of APP at various sub-compartments. Recent studies have demonstrated differential nanoscale localization of APP and secretases in functional zones of the synapse. Furthermore, the instantaneous distribution of APP on the synaptic membrane can be controlled by passive lateral diffusion of APP between the synaptic membrane and endocytic zone and the active internalization of APP at the endocytic zone.
The dynamics and biophysical properties of APP can be influenced by the proteins which interact with APP. It is known that the scaffolding proteins play a significant role in the trafficking of APP. Munc Interacting family of proteins (Mint) are scaffolding proteins known to regulate the trafficking and processing of APP. However, the mechanism by which it
modulates these processes remains unclear. The Mint family of proteins has three isoforms- Mint1/X11α, Mint2/X11β, Mint3/X11γ, all of which are evolutionary conserved. These Mint isoforms interact with the internalization motif of APP through their phosphotyrosine binding (PTB) domain. To characterize the association with APP, it is essential to understand the differential expression, localization, and exchange kinetics of Mint isoforms. We observed that expression of mRNA transcripts of Mint isoforms is developmentally regulated in the hippocampus and cortex.
Additionally, we studied the differential localization of Mint1 and Mint2 in the functional zones of the synapse with super-resolution microscopy. We observed that Mint1 and Mint2 are differentially distributed in the subsynaptic compartment indicating the differential role of Mint isoforms in APP regulation. They are highly enriched in inhibitory synapses compared to the excitatory synapse. Mint1 is enriched more in the endocytic zone and active zone, while Mint2 is highly enriched in the active zone than the endocytic zone. Further, we investigated if there is a difference in trafficking between Mint isoforms with fluorescence recovery after photobleaching and single particle tracking in heterologous cell lines. The results indicated strong confinement for Mint3 and Mint2 in comparison to Mint1.
Elevation of Mint1 and Mint2 in heterologous cell lines significantly impacted the nanoscale clustering of endogenous APP. Mint1 and Mint2 increased the packing density of APP molecules per cluster, indicating that APP tends to aggregate more in the presence of Mint1 or Mint2. Additionally, we evaluated how co-expression of Mint2 with APP wild type and a detrimental variant of APP (APP Swedish) can affect the lateral mobility of APP on the plasma membrane. In cells with elevated levels of Mint2, confinement of both APP wild type and APP Swedish was higher and consistent with a reduction in lateral mobility. When the interaction of Mint2 with APP was perturbed by the deletion of the PTB domain from Mint2, it resulted in a disparate effect on the lateral mobility of APP wild type and APP Swedish. However, in cells expressing a variant of APP where the internalization motif (YENPTY) of APP was deleted, Mint2 did not affect the lateral mobility of APP. These observations support that, Mint2 is a molecular determinant in controlling lateral mobility and works independently of the mutations near the transmembrane and juxta membrane region resulting in an elevation of Amyloid-beta levels. These results implicate a broader role for C-terminal interactions of APP
for regulating the molecular locus of canonical processing. Additionally, these observations highlight the role of such potential mechanisms that contribute to the sporadic onset of AD
Building Thermal Performance Varies During Extreme Heat within Cities
No full textabstract: This document has been superseded by our peer-reviewed publication:
Building Thermal Performance, Climate Change, and Urban Heat Vulnerability, Matthew Nahlik, Mikhail Chester, Stephanie Pincetl, David Eisenman, Deepak Sivaraman, and Paul English, 2017, ASCE Journal of Infrastructure Systems, 23(3), doi:10.1061/(ASCE)IS.1943-555X.0000349
The publication is available at: http://dx.doi.org/10.1061/(ASCE)IS.1943-555X.0000349
The leading source of weather-related deaths in the United States is heat, and future projections show that the frequency, duration, and intensity of heat events will increase in the Southwest. Presently, there is a dearth of knowledge about how infrastructure may perform during heat waves or could contribute to social vulnerability. To understand how buildings perform in heat and potentially stress people, indoor air temperature changes when air conditioning is inaccessible are modeled for building archetypes in Los Angeles, California, and Phoenix, Arizona, when air conditioning is inaccessible is estimated. An energy simulation model is used to estimate how quickly indoor air temperature changes when building archetypes are exposed to extreme heat. Building age and geometry (which together determine the building envelope material composition) are found to be the strongest indicators of thermal envelope performance. Older neighborhoods in Los Angeles and Phoenix (often more centrally located in the metropolitan areas) are found to contain the buildings whose interiors warm the fastest, raising particular concern because these regions are also forecast to experience temperature increases. To combat infrastructure vulnerability and provide heat refuge for residents, incentives should be adopted to strategically retrofit buildings where both socially vulnerable populations reside and increasing temperatures are forecast
Building and processing a dataset containing articles related to food adulteration
No full textThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (page 69).In this thesis, I explored the problem of building a dataset containing news articles related to adulteration, and curating this dataset in an automated fashion. In particular, we looked at food-adulterant co-existence detection, query reforumulation, and entity extraction and text deduplication. All proposed algorithms were implemented in Python, and performance was evaluated on multiple datasets. Methods described in this thesis can be generalized to other applications as well.by Deepak Narayanan.M. Eng
Digital front end for base-station RF
No full textThe digital front-end (DFE) is the most critical stage in a wireless base-station. The DFE along with the analog to digital converter (ADC) is responsible for bridging the analog RF and IF processing on one side and the digital baseband processing on the other side. The most important reason for replacing analog with digital signal processing is the ability to softly reconfigure the channels in the base station RF in real time, thus allowing for the implementation of various signal conditioning, compensation and mitigation channel non-linear responses. Once tested, these algorithms can be implemented on a proprietary CMOS vector processor and commercial FPGA hardware platforms. In this thesis, we attempt to minimize the design efforts and lower the cost involved in the usage of analog electronics by using sophisticated digital signal processing (DSP) for restoring and enhancing the quality of the wireless channels. This thesis presents a versatile Digital Front-End architecture, which has been simulated using MATLAB/Simulink. The architecture includes the design of robust Digital Up-Conversion (DUC) blocks in the transmit downlink and Digital Down-Conversion (DDC) blocks present in the receiver uplink paths in a wireless base station RF. Crest factor reduction (CFR) schemes help reduce the Peak to Average Power Ratio (PAPR)of the signal entering the base-station and have been implemented widely for code division multiple access (CDMA) and Long Term Evolution (LTE) systems, this is important because if the signal with the high PAPR is allowed to pass through the power amplifier(PA) it will result in the amplifier operating in its nonlinear region creating non-linear distortions in amplitude and phase, and the only other way to avoid this is to back off the signal to the linear region of the amplifier thus reducing its efficiency. The selection and design of the DUC and DDC filters has been compared and optimized to match to the spectral mask requirements mentioned in the 3GPP standards. Crest factor reduction has also been studied in detail and a computationally efficient algorithm for meeting the desired PAPR in accordance with the 3GPP standards will be presented. By using the CFR algorithm, the PAPR of the LTE signal was reduced from 10.8 dB to 7 dB and from 10.5 dB to 8 dB for a WCDMA signal. Finally, we implement Digital Predistortion (DPD) which is a method by which one first stimulates a non-linear power amplifier (PA) with baseband samples and then observes the result of that stimulus at its output. Without this process we will need to use a power amplifier with a higher input power rating which needs to be backed off to operate in its linear region thus reducing the efficiency of the PA used and increasing its cost. The process involves the use of a digital predistorter which creates an expanding nonlinearity which when used in cascade with the PA nullifies the compressing nonlinear characteristics of the PA thus enabling its use in its linear region up to its saturating point. A Look-Up Table (LUT) type Adaptive Digital Pre-Distortion (ADPD) is presented; here we developed an algorithm where the output signal of the PA is used as a reference signal. This reference signal is then used to update the coefficients of the LUT, so that the non-linear responses of the PA will not the affect the amplified signals. In addition, we investigated methods such as the nonlinear auto-regressive moving average (NARMA) and the memory polynomial models. In the latter, the predistorter parameters are calculated from the output signal obtained from the PA through the adaptive functions obtained using the memory polynomial. From these parameters, the predistorted signal is reconstructed and fed to the input of the PA. By using the DPD algorithm the nonlinear distortions of the PA came down by 60 dB when a WCDMA signal was used and by around 40 dB when LTE signal was used. As the PA is the heart of the base-station RF, we show that the main function of the DFE is to ensure a PA linearized output with a high efficiency.M.S.Includes bibliographical referencesby Deepak Gop
Problemas do discurso de Deepak Chopra: uma análise metalinguística de “A cura quântica”
Get PDFIn this article, our objective is to make some contributions to the debate around the “quantum mysticism” phenomenon, exploring discursive aspects that permeate an utterance with this kind of theme. To this end, we bring forth an analysis of the book Quantum healing by Deepak Chopra, based on the philosophy of the Bakhtin Circle. We investigate not only the author's argumentative strategies, but we also connect the constituent elements of this utterance (theme, structure and style) with its context of publication, production and reception. We end our arguments recognizing the incoherence that Chopra demonstrates with his intertwining of mystical and alternative conceptions with a scientific worldview, while uttering inconsistent metaphors and serious contradictions, but we also highlight that the author was able to influence the way in which concepts related to Quantum Physics circulate outside the academia.Neste artigo, nosso objetivo é contribuir para o debate sobre o misticismo quântico, explorando aspectos discursivos que permeiam um enunciado com tal tema. Para tanto, realizamos uma análise metalinguística do livro A cura quântica de Deepak Chopra, com base na filosofia da linguagem do Círculo de Bakhtin. Investigamos não apenas as estratégias argumentativas do autor, mas também conectamos os elementos constitutivos desse enunciado (tema, estrutura e estilo) com seu contexto de produção e publicação. A partir da análise reconhecemos a incoerência de Chopra ao sintetizar visões de mundo místicas e alternativas e uma visão de mundo científica repleta de metáforas inconsistentes e graves contradições, mas destacando como o autor conseguiu influenciar o modo como conceitos relacionados à Física Quântica são mobilizados fora do contexto acadêmico
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