scholarly journals Highlighting photonics: looking into the next decade

eLight ◽  
2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Zhigang Chen ◽  
Mordechai Segev

AbstractLet there be light–to change the world we want to be! Over the past several decades, and ever since the birth of the first laser, mankind has witnessed the development of the science of light, as light-based technologies have revolutionarily changed our lives. Needless to say, photonics has now penetrated into many aspects of science and technology, turning into an important and dynamically changing field of increasing interdisciplinary interest. In this inaugural issue of eLight, we highlight a few emerging trends in photonics that we think are likely to have major impact at least in the upcoming decade, spanning from integrated quantum photonics and quantum computing, through topological/non-Hermitian photonics and topological insulator lasers, to AI-empowered nanophotonics and photonic machine learning. This Perspective is by no means an attempt to summarize all the latest advances in photonics, yet we wish our subjective vision could fuel inspiration and foster excitement in scientific research especially for young researchers who love the science of light.

2021 ◽  
Vol 2 (1) ◽  
pp. 25-33
Author(s):  
Otabek Allayarov ◽  
◽  
Hasan Yarbaev

The articledescribes thatit is impossible the development of society without the development of science, in this senseour state pay attention to in the field of science in the context of science and social-political reform, spiritual renewalasin all countries of the world. Scientifically and practically defined the role of information technology in the development of science and technology, as well as the creation of effective mechanisms for stimulating research and innovation, the introduction of science and innovation achievements. Moreover, the role and significance of information technology in the development of scientific research in the field of technologywas stated


2021 ◽  
Author(s):  
Praveeen Anandhanathan ◽  
Priyanka Gopalan

Abstract Coronavirus disease (COVID-19) is spreading across the world. Since at first it has appeared in Wuhan, China in December 2019, it has become a serious issue across the globe. There are no accurate resources to predict and find the disease. So, by knowing the past patients’ records, it could guide the clinicians to fight against the pandemic. Therefore, for the prediction of healthiness from symptoms Machine learning techniques can be implemented. From this we are going to analyse only the symptoms which occurs in every patient. These predictions can help clinicians in the easier manner to cure the patients. Already for prediction of many of the diseases, techniques like SVM (Support vector Machine), Fuzzy k-Means Clustering, Decision Tree algorithm, Random Forest Method, ANN (Artificial Neural Network), KNN (k-Nearest Neighbour), Naïve Bayes, Linear Regression model are used. As we haven’t faced this disease before, we can’t say which technique will give the maximum accuracy. So, we are going to provide an efficient result by comparing all the such algorithms in RStudio.


2016 ◽  
Vol 66 (4) ◽  
pp. 289 ◽  
Author(s):  
Partha Ghosal

‘There’s plenty of room at the bottom’ – In 1959, one of the most brilliant physicists the world has ever seen, Richard P. Feynmann, gave us a beautiful introduction to nano-science. Today, after almost seven decades, nano-materials and related technologies are not just a simple extension of regular research and miniaturisation of materials, but have become the prime driver of advancement in science and technology all over the world. Over the past few decades, new societal requirement haveemerged atthe national and international level.


Author(s):  
Dhruv Garg and Saurabh Gautam

In the recent past whole of the world has come to a standstill due to a novel airborne virus. The airborne nature of this disease has made it highly contagious which has led to a great number of people being infected very fast. This requires a new method of testing that is faster and more precise. Machine Learning has allowed us to develop sophisticated self-learning models that can learn from data being fed and decide on entirely new options. In the past we have used different Machine Learning algorithm to make models on different biomedical dataset to detect various kind of acute or chronic diseases. Here we have developed a model that successfully detects severe cases of Novel corona virus affected person with great precision.


2021 ◽  
Vol 27 (3) ◽  
pp. 379-390
Author(s):  
Kenneth Ward Church ◽  
Valia Kordoni

AbstractThere are well-meaning efforts to address ethics that will likely make the world a better place, but care needs to be taken to avoid repeating mistakes of the past. In particular, ACL has recently introduced a new process where there are special reviews of some papers for ethics. We would be more comfortable with the new ethics process if there were more checks and balances, due process and transparency. Otherwise, there is a risk that the process could intimidate authors in ways that are not that dissimilar from the ways that academics were intimidated during the Cold War on both sides of the Iron Curtain.


2021 ◽  
Author(s):  
E. Arul ◽  
A. Punidha ◽  
K. Gunasekaran ◽  
P Radhakrishnan ◽  
VD Ashok Kumar

Online media have flourished in modern years to connect with the world. Most of those stuff users share on blogs like facebook, twitter and many other are pessimistic or just middle spirited. Further, an increasingly professional anti - spyware technologies are dependent on Machine Learning(ML) technology to secure malicious consumers. Over the past few years, revolutionary learning approaches have yielded remarkable outcomes and have immediately generated photos, characters and text interpretations of dynamic weak points. The Purple consumer frequency makes the troll and attacker aim an enticing one. The users will learn the controversial topics and techniques used by malware from articles with ties to harmful material and bogus applications. It is essential to build and customize a lot of potential functionality in vulnerability and application developers around the world. To represent a public web firmware assault with deep logistic inference using Extreme Spontaneous Tree (FAI-DLB). A corresponding output device is named harmful or benign by training an FAI-DLB with different modulation clustered with such a normal or anomalous API. It was therefore equipped to locate a suspicious sequence in unidentified firmware of FAI Deep LB. The outcome demonstrates a good actual meaning of 96.25% and a low spyware assault of 0.03%.


2018 ◽  
Vol 58 (2) ◽  
pp. 109-114
Author(s):  
Nan Zhou ◽  
Qiu-ping Wu ◽  
Terry Su ◽  
Qian-hao Zhao ◽  
Kun Yin ◽  
...  

Producing qualified forensic pathological practitioners is a common difficulty around the world. In China, forensic pathology is one of the required major subspecialties for undergraduates majoring in forensic medicine, in contrast to forensic education in Western countries where forensic pathology is often optional. The enduring predicament is that the professional qualities and abilities of forensic students from different institutions vary due to the lack of an efficient forensic pedagogical model. The purpose of this article is to describe the new pedagogical model of forensic pathology at Zhongshan School of Medicine, Sun Yat-sen University, which is characterised by: (a) imparting a broad view of forensic pathology and basic knowledge of duties and tasks in future careers to students; (b) educating students in primary skills on legal and medical issues, as well as advanced forensic pathological techniques; (c) providing students with resources to broaden their professional minds, and opportunities to improve their professional qualities and abilities; and (d) mentoring students on occupational preparation and further forensic education. In the past few years, this model has resulted in numerous notable forensic students accomplishing achievements in forensic practice and forensic scientific research. We therefore expect this pedagogical model to establish the foundation for forensic pathological education and other subspecialties of forensic medicine in China and abroad.


Author(s):  
Udayasri. B ◽  
Sushmitha. N ◽  
Padmavathi. S

The World Wide Web is a huge, information center for a variety of applications. Web contains a dynamic and rich collection of hyperlink information. It allows Web page access, usage of information and provides numerous sources for data mining. The goal of Web mining is to discover the pattern of access and hidden information from huge collections of documents. In this paper we are presenting the various emerging web mining techniques that are effectively efficient in overcoming the demerits of existing technologies and also give the superficial knowledge and comparison about data mining. This paper describes the past, current and future of web mining. Web mining attempts to determine useful knowledge from secondary data obtained from the interactions of the users with the web. We have also described the personalization on web which is used to manipulate the information presented to the users through the various personalization strategies.


In both scientific research and public interest over the past two decades there has been a growing attention to environmental matters. This volume presents the views of a number of leading figures concerning the nature of environmental consciousness and the emergence of connections linking globalization (processes of intensifying social, political, and economic networks), globalism (our sense of the world as a whole), specific environments (such as rainforests or cities), and environmentalism (expressed in the activities of social movement organizations).


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