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Cubic structure is one of the most commonly found structures for oxides at high temperature. As the temperature is lowered only a handful of these oxides exhibit ferroelectricity which is rather surprising. In this paper, we use the example of YCrO3 (YCO), an incipient ferroelectric material to show that in most oxides there are two competing phenomenon -onset of ferroelectricity due to rotation of CrO6 octahedra and displacement of Y atom leading to suppression of ferroelectricity. ThisarXiv:1805.10077v1 fatcat:zkzhukwoyrdtfh5a7zmwivtspe
more »... tion reveals that while the octahedral rotations favor a lower symmetry state, the Y atom displacement opposes it leaving YCO to exhibit only an incipient ferroelectric state. These results while being in agreement with the earlier theoretical predictions can also help suggest a pathway to a more stable ferroelectric state in these oxides by using a larger cationic substitution at the Y site.
We present three simple and efficient protocol constructions to solve Yao's Millionaire Problem when the parties involved are non-colluding and semi-honest. The first construction uses a partially homomorphic Encryption Scheme and is a 4-round scheme using 2 encryptions, 2 homomorphic circuit evaluations (subtraction and XOR) and a single decryption. The second construction uses an untrusted third party and achieves a communication overhead linear in input bit-size with the help of an orderarXiv:1310.8063v1 fatcat:ffvsyxpebnel7km6r43njuhjlu
more »... erving function.Moreover, the second construction does not require an apriori input bound and can work on inputs of different bit-sizes. The third construction does not use a third party and, even though, it has a quadratic communication overhead, it is a fairly simple construction.
doi:10.1001/archinte.168.16.1820 pmid:18779471 fatcat:wlebmarbvrgpnbyoysy6h4t634
Soumya Gupta, Amish Gohil, Ashish Kumar Gupta Department of Plastic Surgery, Christian Medical Collage and Hospital, Vellore, Tamil Nadu, India Figure 1 :Figure 2 : 12 (a) Clinical preoperative image ...doi:10.4103/0970-0358.146684 pmid:25593446 pmcid:PMC4292138 fatcat:5azefcksrvcjngr32np2aa7wy4
Humans routinely retrace paths in a novel environment both forwards and backwards despite uncertainty in their motion. This paper presents an approach for doing so. Given a demonstration of a path, a first network generates a path abstraction. Equipped with this abstraction, a second network observes the world and decides how to act to retrace the path under noisy actuation and a changing environment. The two networks are optimized end-to-end at training time. We evaluate the method in twoarXiv:1812.00940v1 fatcat:l7juyjkxnrfdzgplfav2juidsq
more »... stic simulators, performing path following and homing under actuation noise and environmental changes. Our experiments show that our approach outperforms classical approaches and other learning based baselines.
Profiling also includes differential protein expression levels under specific experimental conditions Correspondence Pros and Cons of the Proteomics Ashish Gupta, Ashutosh Kumar The number of proteins ...doi:10.4103/2319-4170.125652 pmid:24923575 fatcat:xqhdu6spxba2zp3duptuhih74a
Planning at a higher level of abstraction instead of low level torques improves the sample efficiency in reinforcement learning, and computational efficiency in classical planning. We propose a method to learn such hierarchical abstractions, or subroutines from egocentric video data of experts performing tasks. We learn a self-supervised inverse model on small amounts of random interaction data to pseudo-label the expert egocentric videos with agent actions. Visuomotor subroutines are acquiredarXiv:1905.12612v2 fatcat:trrvzsydfvgk5cm5gkqdez3klm
more »... rom these pseudo-labeled videos by learning a latent intent-conditioned policy that predicts the inferred pseudo-actions from the corresponding image observations. We demonstrate our proposed approach in context of navigation, and show that we can successfully learn consistent and diverse visuomotor subroutines from passive egocentric videos. We demonstrate the utility of our acquired visuomotor subroutines by using them as is for exploration, and as sub-policies in a hierarchical RL framework for reaching point goals and semantic goals. We also demonstrate behavior of our subroutines in the real world, by deploying them on a real robotic platform. Project website: https://ashishkumar1993.github.io/subroutines/.
Despite the easy and reliable methods of blood pressure measurement, the screening of essential hypertension (EH) is usually ignored due to delayed onset of symptoms. A probe into the biochemical changes in hypertension would serve as a welcome asset to provide insight into the mechanistic aspects of EH. Filtered serum samples from 64 EH patients and 59 healthy controls (HC) were analysed using 800 MHz nuclear magnetic resonance (NMR) spectroscopy. Application of principal component analysisdoi:10.1038/s41598-017-02289-9 pmid:28526818 pmcid:PMC5438387 fatcat:gt5mchwktvhclp52ft5cqmasyq
more »... A) and orthogonal partial least-squares discriminant analysis (OPLS-DA) following receiver operating characteristic (ROC) curve of NMR data reveals significantly perturbed metabolites: alanine, arginine, methionine, pyruvate, adenine, and uracil. This set of metabolites correctly classified 99% of cases from HC and also showed excellent correlation in both isolated elevated diastolic blood pressure (DBP) cases and combined elevated systolic-diastolic blood pressure cases. Proton NMR metabolomics of EH may prove helpful in defining associated biomarkers and serve as an alternate diagnostic tool with judicious clinical assessment. Hypertension had a global burden on 26.4% of the adult population in 2000, and projections reveal a rise to 29.2 per cent by 2025 1 . In India, the rising burden of hypertension is evident from an increase in prevalence from 5% to 20-40% in the past three decades, which is indeed alarming 2, 3 . The etiology of 90% of the cases of hypertension remains unclear and is termed as essential hypertension (EH) 4 . Given its high prevalence and associated risks of progression to cardio-vascular disease (CVD) and stroke, early diagnosis becomes crucial. Despite the presence of easy and reliable blood pressure evaluation methods (using manual or automated sphygmomanometer), screening of hypertension is usually ignored because of the late appearance of symptoms. Moreover, EH pathophysiology is not merely restricted to elevated blood pressure. Factors such as lifestyle, environmental influences, and disturbances in vascular structure play an important role in EH. The genetic relationship has been largely explored 5, 6 ; however, the perturbations in metabolic and biochemical pathways in EH remain less explored. The use of metabolomic strategies for probing the metabolic aspects of EH may improve our understanding of altered biochemical pathways. Experimental studies using urine samples of genetically hypertensive rats suggest a close association between NMR profiles and perturbed metabolism 7, 8 . Studies have addressed the issue of searching and probing into essential hypertension using proton NMR spectroscopy, but they either represented preliminary data 9 or represented sub-types of hypertension 10 using either intact serum or plasma samples obtained from human subjects. The use of intact serum and plasma samples might have resulted in masking of valuable information. So we evolved a novel filtered serum (lacking lipoproteins and proteins) based metabolomic approach with three fold aims: (1) to obtain qualitative information from proton NMR data in filtered serum samples of EH and age comparable healthy controls (HC); (2) to quantify those metabolites that caused differences between the two study groups, (3) to create a prediction model to confirm our results using multivariate statistical analysis. Results A detailed one dimensional 1 H NMR spectrum of EH and HC is shown in Fig. 1 . The demographic and clinical data of all study subjects are summarised in Table 1. Published: xx xx xxxx OPEN www.nature.com/scientificreports/ 2 Scientific RepoRts | 7: 2153 | Multivariate statistical analysis. First of all, AMIX-generated binned data were used for PCA analysis and to construct the PCA score plot between EH and HC cohorts (Fig. 2) . The scatter plot of PCA exhibited that EH cohorts were well clustered and separated from HC cohorts ( Fig. 2A) , based on the milieu of ailment. An OPLS-DA approach was executed to achieve a next level objective statistical analysis. The outcomes revealed a well-separated, narrowly clustered pattern between EH and HC score plot (Fig. 2B ). Since the OPLS-DA approach applied cohort information to generate utmost segregation between different cohorts, this advanced analysis determines profound and putative biomarkers relevant to particular cohorts. The robustness of the OPLS-DA model is further explained by excellent values of presentation statistics, R 2 Y and Q 2 , exhibited in Fig. 2B . To avoid any errors of the mathematical model, the OPLS-DA was again executed on the training and test data set with a leave-one-out approach. This ICV process exhibits the determination of the model in the form of excellent R 2 and Q 2 values a corresponding OPLS-DA score plot of training data (Fig. 2C) and Y-predicted test data (Fig. 2D ). The outcomes validate the OPLS-DA assessment for a possible novel method to probe EH and segregate from HC with minimal invasiveness. The comparable precision of the training and test data of the OPLS-DA suggest that the use of minimally invasive filtered serum metabolomics exerting NMR spectroscopy is very promising to determine EH.
Needle thread loses signifi cant strength when incorporated into the seam. The needle thread being weaker tends to fail under load which results in a catastrophic failure of the seam. The use of a lower linear density bobbin thread is suggested in order to balance out the loss in the needle thread, which can help improve the production effi ciency without compromising the seam strength. In this paper, four combinations of needle/bobbin threads are used at various process parameters to study thedoi:10.14502/tekstilec2019.62.148-154 fatcat:auwgrp3luzdcvivlkp4g77jrmi
more »... impact of a lower linear density bobbin thread on the seam strength. The seam strength prediction in such an asymmetrical combination of the needle and bobbin thread is also a subject of exploration in this paper as previous research has only taken place in an ideal situation where the same needle and bobbin threads were used.
On the basis of origin, variation of cystic artery is commonly found. Commonly, cystic artery originates from the right hepatic artery and rare condition from celiac trunk. The position of the cystic artery possesses extraordinary importance for the surgeon during cholecystectomy, because the cystic artery is the primary structure to be clipped or tie up during cholecystectomy. In this study, during cadaveric dissection incidentally found rarest condition that cystic artery originating fromdoi:10.21276/apjhs.2022.9.3.38 fatcat:cdeu24bur5eznlifqmnibo7c7a
more »... ac trunk. These anatomical findings are much important for surgical and radiological aspect and may be helpful for surgeons during the performance of surgeries involving hepatic and biliary apparatus.
Wuhan, a city of China, is the epicenter for the pandemic outbreak of coronavirus disease-2019 (COVID-19). It has become a severe public health challenge to the world and established a public health emergency of international worry. This infectious disease has pulled down the economy of almost all top developed nations. The coronaviruses (CoVs) known for various epidemics caused time to time. Infectious diseases such as severe acute respiratory syndrome (SARS) and middle east respiratorydoi:10.1002/slct.202001709 pmid:32835089 pmcid:PMC7361534 fatcat:glq3n6uw3jea7c2x6liusakuue
more »... e (MERS), followed by COVID-19, are all coronaviruses led outbreaks that scourged the history of mankind. CoVs evolved themselves to more infectious, transmissible, and more pandemic with time. To prevent the spread of the SARS-CoV-2, many countries have ordered the complete lockdown to combat the outbreak. This paper briefly discussed the historical background of CoVs and the evolution of human coronaviruses (HCoVs), the case studies and the development of their antiviral medications. The viral infection encountered with present-day challenges and futuristic approaches with the help of nanotechnology to minimize the spread of infectious viruses. The antiviral drugs and their clinical advances, along with herbal medicines for viral inhibition and immunity boosters, are described. Elaboration of tables related to CoVs for the compilation of the literature has been adopted for the better understanding.
Medical Journal Editors, The National Medical Journal of India, All India Institute of Medical Sciences, New Delhi 110 029, India. email@example.com RAKESH AGGARWAL 1 , NITHYA GOGTAY 2 , RAJEEV KUMAR ... VOLUME 53 __ JANUARY 15, 2016 E D I T O R I A L E D I T O R I A L E D I T O R I A L E D I T O R I A L E D I T O R I A L Classic Galactosemia: Indian Scenario SHEILA BHAVE AND ASHISH BAVDEKAR Gastroenterology ...doi:10.1007/s13312-016-0783-6 pmid:26840664 fatcat:oc5ivxbrgzbi3jhsaxozesqwhu
(Kumar et al., 2019a; Bhawna et al., 2020; Gupta et al., 2020a,b) . ... Kumar et al. ... Copyright © 2020 Bhawna, Choudhary, Gupta, Kumar, Kumar, Singh, Singh and Kumar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). ...doi:10.3389/fnano.2020.595352 fatcat:23vvo6uh7zh5nklxjjinhazzru
doi:10.5603/arm.a2020.0169 pmid:33660250 fatcat:bvpagdpoazaoznebs2sqrcjzvq
Melanoma has increased in prevalence over the last three decades, and early detection is critical for lowering the mortality rate linked to its type of skin cancer. Thus, access to an automated, dependable system capable of detecting the existence of melanoma using a dermatoscopic image of lesions can be an essential instrument in the field of clinical diagnostics. Among the state-of-the-art technologies for automated or computerized clinical diagnostics, deep learning based on Convolutionaldoi:10.5281/zenodo.5534298 fatcat:jljo7olyuvaevc2jmclgz5ci4y
more »... ral Networks should given attention, which have been utilized to create classification and detection systems for various disorders. The method suggested in this article utilizes an imaging stage to generate the features of the dermatoscopic picture using the EfficientNet-based Convolutional Neural Network, followed by an attention mechanism to reweight the features. Following that, we utilize the dense layer to process metadata and build a fully connected layer that categorizes lesions as "benign" or "malignant". We have trained, validated and tested the suggested model using the database related to the 2020 International Symposium on Biomedical Imaging challenge. The ensemble model's ROC-AUC is 0.9628, while its recall, precision, and F1-score are 0.8639, 0.8746, and 0.8692, respectively. Thus, it shows that the model can discriminate accurately between benign and malignant lesions without bias toward any class
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