Clinico-radiological and pathological correlation of interstitial lung diseases: a prospective single centre study

Background: Current investigation was done to study the role of HRCT chest in the diagnosis and characterization of interstitial lung diseases, yield of transbronchial lung biopsy and role of multidisciplinary approach of diagnosis.Methods: We prospectively analyzed clinical features and radiological findings in 38 patients of ILD. Radiological diagnosis on HRCT was made in every case depending on type of predominant abnormality and pattern of involvement. Following this, TBLB was done in every case.Results: ILD was diagnosed in all cases on HRCT. Most common ILD type was UIP (31.5%) followed by sarcoidosis (21%) and NSIP (15.7%). Other ILD subtypes encountered were, RB-ILD, AIP and acute silicosis. In 68.4% cases, there was definitive diagnosis on TBLB. Out of which in 15.7% cases, HRCT and TBLB diagnosis were different. In 15.3% cases, TBLB gave diagnosis of only non- specific ILD.Conclusions: HRCT can detect ILD in 100% cases & can characterize ILD into various patterns. But, HRCT alone without clinical correlation and pathology can cause diagnostic confusion in many cases. However, multidisciplinary approach by engaging clinician, radiologist and pathologist can lead to accurate diagnosis in many cases of ILD. TBLB is a safe, minimally invasive procedure which can establish correct diagnosis in many cases especially in broncho-centric diseases

Graphene Quantum Dots - From Emergence to Nanotheranostic Applications

Quantum dots are at the cutting edge of nanotechnology development. Due to their unique optical and physical properties, they have potential applications in many avenues of medicine and biotechnology. With the advancements in nano-sciences, novel applications of quantum dots are constantly being explored for drug delivery and bioimaging. Graphene quantum dots (GQDs) are nanoparticles of graphene with properties of quantum dots as well as graphene. GQDs have ignited remarkable research interest in the field of medicine and biology and are considered as well-suited candidates for nanotheranostic applications due to their excellent biocompatibility and tunable physicochemical properties. The promising emerging implications of GQD platforms for diagnostics and therapeutics advances are the basis of this chapter

To Infect Or Not To Infect: A Critical Analysis Of Infective Countermeasures In Fault Attacks

As fault based cryptanalysis is becoming more and more of a practical threat, it is imperative to make efforts to devise suitable countermeasures. In this regard, the so-called ``infective countermeasures\u27\u27 have garnered particular attention from the community due to its ability in inhibiting differential fault attacks without explicitly detecting the fault. We observe that despite being adopted over a decade ago, a systematic study of infective countermeasures is missing from the literature. Moreover, there seems to be a lack of proper security analysis of the schemes proposed, as quite a few of them have been broken promptly. Our first contribution comes in the form of a generalization of infective schemes which aids us with a better insight into the vulnerabilities, scopes for cost reduction and possible improvements. This way, we are able to propose lightweight alternatives of two existing schemes. Further we analyze shortcomings of LatinCrypt\u2712 and CHES\u2714 schemes and propose a simple patch for the former

CoRF : Colorizing Radiance Fields using Knowledge Distillation

Neural radiance field (NeRF) based methods enable high-quality novel-view synthesis for multi-view images. This work presents a method for synthesizing colorized novel views from input grey-scale multi-view images. When we apply image or video-based colorization methods on the generated grey-scale novel views, we observe artifacts due to inconsistency across views. Training a radiance field network on the colorized grey-scale image sequence also does not solve the 3D consistency issue. We propose a distillation based method to transfer color knowledge from the colorization networks trained on natural images to the radiance field network. Specifically, our method uses the radiance field network as a 3D representation and transfers knowledge from existing 2D colorization methods. The experimental results demonstrate that the proposed method produces superior colorized novel views for indoor and outdoor scenes while maintaining cross-view consistency than baselines. Further, we show the efficacy of our method on applications like colorization of radiance field network trained from 1.) Infra-Red (IR) multi-view images and 2.) Old grey-scale multi-view image sequences.Comment: AI3DCC @ ICCV 202

Ultrafast Green Single Photon Emission from an InGaN Quantum Dot-in-a-GaN Nanowire at Room Temperature

In recent years, there has been a growing demand for room-temperature visible single-photon emission from InGaN nanowire-quantum-dots (NWQDs) due to its potential in developing quantum computing, sensing, and communication technologies. Despite various approaches explored for growing InGaN quantum dots on top of nanowires (NWs), achieving the emission of a single photon at room temperature with sensible efficiency remains a challenge. This challenge is primarily attributed to difficulties in accomplishing the radial confinement limit and the inherent giant built-in potential of the NWQD. In this report, we have employed a novel Plasma Assisted Molecular Beam Epitaxy (PAMBE) growth approach to reduce the diameter of the QD to the excitonic Bohr radius of InGaN, thereby achieving strong lateral confinement. Additionally, we have successfully suppressed the strong built-in potential by reducing the QD diameter. Toward the end of the report, we have demonstrated single-photon emission (${\lambda}$ = 561 nm) at room-temperature from the NWQD and measured the second-order correlation function $g^{2}(0)$ as 0.11, which is notably low compared to other reported findings. Furthermore, the lifetime of carriers in the QD is determined to be 775 ps, inferring a high operational speed of the devices