Patent Portfolio Analysis of the Synergy between Machine Learning and Photonics

Machine learning in photonics has potential in many industries. However, research on patent portfolios is still lacking. The purpose of this study was to assess the status of machine learning in photonics technology and patent portfolios and investigate major assignees to generate a better understanding of the developmental trends of machine learning in photonics. This can provide governments and industry with a resource for planning strategic development. I used data-mining methods (correspondence analysis and K-means clustering) to explore competing technological and strategic-group relationships within the field of machine learning in photonics. The data were granted patents in the USPTO database from 2019 to 2020. The results reveal that patents were primarily in image data processing, electronic digital data processing, wireless communication networks, and healthcare informatics and diagnosis. I assessed the relative technological advantages of various assignees and propose policy recommendations for technology development.

Digital Technology in Diagnostic Breast Pathology and Immunohistochemistry

Digital technology has been used in the field of diagnostic breast pathology and immunohistochemistry (IHC) for decades. Examples include automated tissue processing and staining, digital data processing, storing and management, voice recognition systems, and digital technology-based production of antibodies and other IHC reagents. However, the recent application of whole slide imaging technology and artificial intelligence (AI)-based tools has attracted a lot of attention. The use of AI tools in breast pathology is discussed briefly as it is covered in other reviews. Here, we present the main application of digital technology in IHC. This includes automation of IHC staining, using image analysis systems and computer vision technology to interpret IHC staining, and the use of AI-based tools to predict marker expression from haematoxylin and eosin-stained digitalized images.

Problems of implementing international digitalisation standards of criminal investigation

The study consisted of identifying the existing problems in the implementation of international standards of digitization of criminal investigation at the legislative level. The research was carried out in stages as a summary, based on the logic of presentation of the material, to achieve and meet the objectives set out in the article. The method of direct observation, the method of comparison and analysis of the content of the documents, the method of systemic and pragmatic approach were used. The key results of the study were the analysis of the experience of implementing digital standards in forensic activities in the United States, Canada, Great Britain, Denmark, England, Austria, Estonia, and Ukraine. It is concluded that the problems that exist in the implementation of these standards, were identified from the criteria of evaluation of the efficiency and capacity of digital data processing by the agencies involved in the criminal investigation. In addition, the problems and difficulties faced by the authorities in implementing existing international digitization standards, indicate the need for comprehensive measures to organize criminal investigations. To overcome them, appropriate measures must be taken in the field of legislative changes.

A Smarter Pavlovian Dog with Optically Modulated Associative Learning in an Organic Ferroelectric Neuromem

Associative learning is a critical learning principle uniting discrete ideas and percepts to improve individuals’ adaptability. However, enabling high tunability of the association processes as in biological counterparts and thus integration of multiple signals from the environment, ideally in a single device, is challenging. Here, we fabricate an organic ferroelectric neuromem capable of monadically implementing optically modulated associative learning. This approach couples the photogating effect at the interface with ferroelectric polarization switching, enabling highly tunable optical modulation of charge carriers. Our device acts as a smarter Pavlovian dog exhibiting adjustable associative learning with the training cycles tuned from thirteen to two. In particular, we obtain a large output difference (>103), which is very similar to the all-or-nothing biological sensory/motor neuron spiking with decrementless conduction. As proof-of-concept demonstrations, photoferroelectric coupling-based applications in cryptography and logic gates are achieved in a single device, indicating compatibility with biological and digital data processing.

The use of digital data processing to improve the metrological characteristics of the rubidium frequency standard

The necessity of improving the metrological characteristics of a quantum frequency standard when determining the coordinates of an object on the Earth’s surface or long-term transmission of large amounts of data in satellite communication systems is substantiated. A new algorithm for digital processing of optical signals in the frequency standard is proposed. The results of experimental studies of the metrological characteristics of a quantum frequency standard based on rubidium atoms - 87 are presented

Technological structure network analysis to explore the hotspots of academic patents in international technology transfer

International technology transfer is a determinant of a country’s national revenue and economic growth. Technology exported through international technology transfer can be the factor that gives a country a competitive edge. Therefore, investigation of international technology transfer has become essential. With the role of universities in innovation changing, academic patents have increased significantly over the past 10 years. Thus, this study used academic patents involved in international technology transfer as a basis for analysis and attempted to identify technological hotspots through a technological structure network analysis. The results indicated that key technologies in academic patent–based international technology transfer networks were mainly concentrated on measurement, nanotechnology, medical technology, biotechnology, and electric digital data processing. An academic patent technological hotspot network model was established to serve as a reference for academic technology transfers as well as for governments in their promotion of emerging technologies.

DIGITAL DATA PROCESSING BASED ON WAVELET TRANSFORMS

The paper focuses on the main theoretical principles and properties of wavelet transforms. The problem of digital data processing based on wavelet transforms is considered. The analysis and processing of signals and functions that are non-stationary in time and inhomogeneous in space are presented. The authors propose methods of progressive coefficients’ values that combine wavelet decomposition and quantization, the main purpose of which is to convey the most important piece of information about a signal.

In the memory of professor Rinat Ibragimov – to the 65th anniversary from birthday

The article is dedicated to the memory of Rinat Ismagilovich Ibragimov (1956–2018), doctor Grand PhD in Biological Sciences, Professor of Bashkir State University (BashSU). For 12 years, R.I. Ibragimov was a Dean of the Faculty of Biology, for a long time he headed the Department of Biochemistry and Biotechnology. He was a talented scientist, teacher and leader, the organizer of major scientific events at the Faculty of Biology of BashSU. Scientific researches of Ibragimov R.I. were devoted to the study of molecular mechanisms of interaction of plants with phytophagous and pathogens. He obtained priority data on the biochemical characteristics of insect pests in the agroecosystems of the Republic of Bashkortostan, studied varietal characteristics of cultivated plants due to their resistance to pests. Laboratory methods for determining the activity of enzymes, methods of digital data processing in experiments on the quantitative determination of the activity of hydrolases and their inhibitors has been developed. Followers of Professor R.I. Ibragimov continue the development of his scientific ideas. In September 2020, the III Russian Conference "Modern Problems of Biochemistry, Genetics and Biotechnology" dedicated to the memory of Professor Ibragimov R.I. is scheduled to be held at Bashkir State University in Ufa.

The implementation of new digital technologies during pre-shift examinations of personnel at energy enterprises

The article discusses the possibility of using a new digital automated medical hardware complex which ensures health control of energy enterprise personnel. The considered complex consists of separate functional devices. Thanks to their technical characteristics a high reliability of the registered physiological parameters of the examined workers can be obtained. Thus, we get high reliability of personnel health monitoring. The automated complex carries out digital data processing. According to this data the prognostic state of the employee is issued. It plays a key role in improving safety at electric power enterprises, reduces the risk of accidents caused by personnel.