bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-term in vivo monitoring of gliotic sheathing of ultrathin entropic coated brain microprobes with fiber-based optical coherence tomography
Authors: Dryg Ian , Xie Yijing , Bergmann Michael , Urban Gerald , Shain William , Hofmann Ulrich G 
Published: March 2021

Abstract

Objective. Microfabricated neuroprosthetic devices have made possible important observations on neuron activity; however, long-term high-fidelity recording performance of these devices has yet to be realized. Tissue-device interactions appear to be a primary source of lost recording performance. The current state of the art for visualizing the tissue response surrounding brain implants in animals is immunohistochemistry + confocal microscopy, which is mainly performed after sacrificing the animal. Monitoring the tissue response as it develops could reveal important features of the response which may inform improvements in electrode design. Approach. Optical coherence tomography (OCT), an imaging technique commonly used in ophthalmology, has already been adapted for imaging of brain tissue. Here, we use OCT to achieve real-time, in vivo monitoring of the tissue response surrounding chronically implanted neural devices. The employed tissue-response-provoking implants are coated with a plasma-deposited nanofilm, which has been demonstrated as a biocompatible and anti-inflammatory interface for indwelling devices. We evaluate the method by comparing the OCT results to traditional histology qualitatively and quantitatively. Main results. The differences in OCT signal across the implantation period between the plasma group and the control reveal that the plasma-type coating of otherwise rigid brain probes (glass) only slightly improve the glial encapsulation in the brain parenchyma indicating that geometrical or mechanical influences are dominating the encapsulation process. Significance. Our approach can long-term monitor and compare the tissue-response to chronically-implanted neural probes with and withour plasma coating in living animal models. Our findings provide valuable insigh to the well acknowledged yet not solved challenge.
An Intelligent Approach for Predicting Emotion Using Convolution Neural Network
Authors: Das Sumit , Synyal Manas Kumar , Upadhyay Sourav Kumar , Chatterjee Supriyo 
Published: March 2021

Abstract
Emotions have started controlling not only the way as humans; interact with other living beings but also the way we interact with computers. Emotions have started controlling our every decision like going to a shop again, purchasing a particular product, helping a person, and many others. The developments in the field of artificial intelligence and computer vision have further attracted the attention of people to work in this area. In this work we have designed a real-time emotion recognition system that can recognize the emotions of a person from his facial expressions. The system uses machine learning techniques for performing the task and has been implemented using the python programming language. This system can have a lot of useful applications in real-life scenarios such as old age health monitoring, determining the comfort level of a patient during medical treatment, recognizing the emotions in patients suffering from neurological diseases, not dispensing the money from an ATM if the withdrawer is nervous, determining tiredness or sleepiness during driving and raising an alert, facial emotion detection in interviews, taking feedback of customers visiting a store and later using that for fine-tuning market strategies and many others. It believes this work will be very useful to critical heath care monitoring and management in this advance era of artificial intelligence.
Remote Patient Monitoring during pandemic caused by COVID-19 using Semantic Web Technologies
Authors: Pal Moumita , Ray Ranjana , Maji Prasenjit , Panja Antara 
Published: March 2021

Abstract
Data integration facilities along with decrease in the quantified operational health information occurs due to stuck in hospital admission. Exchanging of information resources has an immense significance due to 3 critical capabilities. These can be enlisted as information swap over through electronic connectivity, interoperability, and compromising under prescribed medication, in which automated systems are involved to solve pathological discrepancies. Along with all these concern about patient safety is taken care of by this startegy. The substantial awareness can be resulted in computational methods and tools which are quite capable for rendering guidance to health care services more resourcefully, which further leads the advancement and execution of intellectual systems within the therapeutic domain. Exchanging of data in the Web can be complies with Resource Description Framework (RDF) and ontology’s. RDF has the capability of capturing information content instead of considering the syntax. Inferential support and transformational approach is feasible by deploying RDF. Facilitation of data by evolution and merging phenomenon can be utilised by the involvement of RDF though schemas variation exists. Semantic interoperability is achieved either by applying standardisation or by translation. Though standardisation is quite acceptable but due to time annihilation transformation in lieu of modernisation is acceptable more. Strategically, realistic approach of semantic interoperability comprises both standards and translations. Conceptual classes, their interrelations, instances and axioms exist in Ontology.
AI Based Online Data Segregation Method under COVID Situation
Authors: Banerjee A. , Das M. , Ghosh A. 
Published: March 2021

Abstract
In this paper, Artificial Intelligence (AI) based online data segregation and categorization method has been discussed which can be effective in the present COVID situation. In the field of education this method can be adopted because students’ interest based categorization for future scope of education can be easily justified by this method. AI has been implemented here to identify the category of the online data and based on that data can be clustered into few groups which can be effective for future analysis. The application has also been interfaced with microcontroller to get quick information about the candidates through LCD screen.
Face Detection based approach to combat with COVID-19
Authors: Biswas Suparna , Mazumdar Senjuti , Rana Sangeeta , Amreen Saba S.B. , Dhar Palasri , Chaudhuri Sayan Roy 
Published: March 2021

Abstract
The global problem at the moment is COVID-19 caused by corona-virus which led to the worldwide lockdown. However there are still people who are not taking proper precautions and maintaining social-distancing while going out for emergency situations. To ensure this the government is trying to monitor the actions of each and every citizen. It is not realistically possible to monitor the actions of each and every citizen. This problem can be possibly solved by the use of machine learning. In this paper we have presented face detection based technique to combat with COVID-19. At first this technique captures the image and detects the face using viola zones method. Then the detected face images are classified to detect the mask. It actually detects whether every person have used mask or not. If there present anyone without mask then the system starts alarm to inform it to the responsible authority and to alert the public. Here Principal Component Analysis (PCA) has been used to extract the feature from the detected face images and for the detection of mask K-Nearest Neighbor (KNN) classifier has been used.
REAL-TIME COMPACT FACE-SHIELD WITH INTERNET OF BIOMEDICAL-THINGS
Authors: Ganguly K , Sikdar S , Bag S , Dey I , Sarkar S , Banerjee S , Barman H , Dey S 
Published: March 2021

Abstract
Presently we are seeing the age of digitalization and people are getting exposed to advanced informative resource with the advancement of Internet of Biomedical-Things. Laudable electronic devices with biomedical instrumentation have several real-time applications in current pandemic situation. Currently coronavirus-19 is posing a serious threat to human race, compelling it to fear the unforeseen circumstances. A very marked rise in the number of infected cases all over the world has crippled us with fear. Several researches have been conducted and numerous working devices have been made to protect people from COVID-19. In this work a compact real-time face shield has been developed using basic electronic sensor with Internet-of-Things application. This device prototype has three major functions. First, shield is equipped with an external wiper with alcohol based sanitizing liquid that sanitizes the shield glass after a particular time interval which can be operated manually by user also. Second, IR sensor is used to detect the distance between user and other people to enforce social distancing. Third, a temperature measuring system has been installed to alert users regarding abnormal body temperature of people approaching the user. The suggested cost effective, compact real-time face shield will efficiently protect individuals against COVID 19.
A review on application of ZnO nano particles as biosensors
Authors: Barman A. , Bhhattacharya S. , Majumder R. 
Published: March 2021

Abstract
Recently some of the metal nano composites are used in the semiconductor based electrical, electrochemical and optical bio-sensors. ZnO nano particles have drawn great interest due to its unique properties like low cost, wide range of band gap, biocompatible, easy to synthesize in different size and shapes and catalytic surface activity. The surface of the ZnO nano particles are perfect for immobilisation of bio molecules without hampering their biological activity. This property increase the sensitivity of bio-sensors. In this review we highlight the use of different ZnO nano particles in bio-sensors enhancing the efficiency of Bio-sensors.
Hatey Bazarey - A Novel Approach to Ensure Food Security In Lockdown Period Through An Android App
Authors: Das P , Das M , Shaw S , Saha J , Sarkar S , Malakar S , Das K , Sen S , Biswas P 
Published: March 2021

Abstract
The adverse effects of the Novel Corona Virus or COVID – 19 on countries like United States of America, Italy, and Spain depicts how fast this virus can spread due to our irresponsible living habits. Till date, social distancing is the only solution to prevent the communal outspread of this pandemic. Other than fighting Corona, Government’s primary concern is to ensure proper food security for every citizen through Public Distribution System. But crowd management at such Fair Price Shops is a hectic job for the administration. Hence in this paper, we look forward to discussing a unique method of Public Distribution with the help of an Android App, named Hatey Bazarey, specially designed for Ration Dealers. Through this method, we aim to provide home delivery service of the lower-priced items as well as to keep a detailed record of the distributed items in a digital platform.
Recent Developments and Future Scopes of Electrical Vehicles in Power Market on Covid-19 Pandemic situation
Authors: Pal Suparna , Dey Basudeb , Chattopadhyay Bartik , Samanta Sanjay , Roy Deb Sekhar , Roy Tirthankar Dutta , Chakraborty Suparna 
Published: March 2021

Abstract
The largest source of climate pollution in the world is transportation. To solve the climate crisis, we need to make the vehicles on our roads as clean as possible. We have only a decade left to change the way we use energy to avoid the worst impacts of climate change. Emissions from cars and trucks are not only bad for our planet; they’re bad for our health. Air pollutants from gasoline- and diesel-powered vehicles cause asthma, bronchitis, cancer, and premature death. The long-term health impacts of localized air pollution last a lifetime, with the effects borne out in asthma attacks, lung damage, and heart conditions. As the COVID-19 pandemic — a respiratory disease — continues to spread, a study by Harvard University found a striking association between long-term exposure to harmful fine particulate matter and COVID-19 mortality in the United States One of the primary causes of fine particulate matter pollution (PM2.5) is combustion from gasoline and diesel car engines. So in this paper we are mainly focused on development of Electrical Vehicles and what are problems to implementation in India. We have discussed different types of Government policies and future scope policies which have been taken by government. From this paper researchers will get clear idea of future of Non Pollutant Vehicles. So this paper is very important in Covid-19 pandemic situations because we will safe and secure from these types of pandemic disease only if our environment will be free from air pollution which creates by conventional vehicles.
Effective Online Teaching Learning during COVID-19 Pandemic
Authors: Sethi Purna Chandra , Behera Prafulla Kumar 
Published: March 2021

Abstract
The COVID-19 pandemic has resulted in a dramatic change in our day to day life. It affected not only the normal working of many organizations but also the traditional classroom teaching and learning methodologies. Since everyone has to maintain social distancing to follow COVID-19 guidelines, work from home is being preferred as the best alternative as a preventive measure from spreading the pandemic. In its severe impact, schools, colleges, and universities were shut down, pushing nearly 1.2 billion students out of the classroom. As a result, the education system has to suddenly adapt to a distinctive online-based e-learning approach over digital platforms. Research tells that online learning motivated more towards the retention of online resources with less cost in terms of money and time. But, it has also brought many challenges along the way. In this research work, we focus on some of the major challenges such as information security and network bandwidth problem during online teaching. The related security measures being adopted in our research work to secure personal information during any online teaching and learning process. We also focus on some basic learning models for provisioning effective online-based teaching and learning.
Efficiency evaluation of sustainable energy development financing mechanism
Authors: Borovkova Vik A , Borovkova Val A 
Published: March 2021

Abstract
Transition to the sustainable energy development and modernization model requires adequate financing, and, consequently, generation of specific mechanisms, instruments, institutions, and sources of financing. All this predetermines the need to study methodological approaches to development and optimal implementation of financing mechanisms for sustainable energy development, and approaches to evaluation of their efficiency. This article clarifies the concept of the sustainable energy development financing mechanism (SEDFM), defines its specificities, proposes a system of indicators and methodology for efficiency evaluation of sustainable energy development financing mechanisms.
Vented air heat recovery in ventilation and conditioning systems based on solid sorbent
Authors: Averkin A G , Eremkin A I , Averkin Yu. A 
Published: March 2021

Abstract
Method and equipment for the heat recovery of the air vented from the rooms with application of intermediate heat medium on the base of silica gel are presented. Analytical dependences for calculating the convective heat exchange in the apparatus with fixed layer, boiling bed and two-phase air flow applying granulated sorbents are specified.
Designing of reed switches for sensors and security alarm devices
Authors: Kalinkina M E , Korobeynikov A G , Pirozhnikova O I , Shmakov N A , Tkalich V L 
Published: March 2021

Abstract
The article is devoted to the actual problem of designing a highly reliable domestic elemental reed switch base of devices designed to create sensors for monitoring fluid flow and detectors for car alarm systems. The developed method of analyzing the statics and dynamics of contact groups of reed switches is implemented when designing new types of magnetically controlled contacts. New designs of reed switches have successfully passed technical tests and are protected by patents in the Russian Federation.
Influence of dimension chains on product assembly sequences
Authors: Bozhko A N 
Published: March 2021

Abstract
The paper considers the influence of design dimension chains on the assembly sequence of a complex product. When assembling products, the rule of connectivity of the dimension chain must be followed. For this reason, the dimension chain induces a binary partial order relation on the set of product parts. The assembly sequences for which the connectivity rule is applied are linear extensions of this order relation. The number of the linear extensions for the orders generated by the main methods of dimensioning is calculated. It is shown that the chain method of dimensioning is the most rigid, and the coordinate method is the most “tolerant”. The combined method occupies an intermediate position. The principle of matching the dimension and mechanical structures of a complex product is proposed. The results obtained can be used to generate rational dimension schemes in integrated CAD / CAM systems.
Methods for reducing electricity losses in main electrical networks
Authors: Belitsyn I V , Khomutov S O , Belitsyn A I 
Published: March 2021

Abstract
The article deals with the problem of reducing the loss of electrical energy when transmitting it over long distances in electrical networks. In particular, technical measures are considered that can compensate for the inequality in the capacity of overhead power lines. A mathematical model is presented that makes it possible to determine the parameters of the electromagnetic field of a power line taking into account its real design. Effective measures have been proposed for equalizing electric charges in phases. Specific recommendations are given for a 500 kV line with horizontal phases. Also, safety issues are considered, namely, the dependences of the electric field strength near power lines are obtained.
Development of proposals of improving the risk-oriented approach in control and supervision activities on labor protection
Authors: Bordakovskaja A P , Rumyantseva N V , Kamenskaya S O , Hlebnikov N G 
Published: March 2021

Abstract
This work is devoted to the development of recommendations for improving the methodology for classifying the activities of employers to a certain risk category, which will make it possible to focus supervisory measures on enterprises in which professional risks to the life and health of workers are high.
Analysis of height dimensions of relatively high box-parts in their drawing from variable thickness blanks by full factorial experiment implementation
Authors: Malyshev A N , Bysov S A , Malyshev E N 
Published: March 2021

Abstract
This article is devoted to an experimental study of the error in the contour height of relatively high box-parts with large radiuses of angular curves manufactured by drawing operation from a tailor welded blanks with variable thickness made of high-strength steel. The advantages of usage of tailor welded blanks with variable thickness are a reduction in the cost of the blanks by reducing material consumption compared to the “classic” uniform blanks, the ability to create a design of the stamped part in accordance with the requirements for operational properties, and a reduction in the mass of the stamped part as a whole.
Impact of globalization and English language on communicative strategies of industrial advertising
Authors: Isakova A A 
Published: March 2021

Abstract
Bee CTa™ The following article is devoted to the influence of globalization and English on communicative strategies of the industrial advertising. Any person has to be guided in a powerful stream of information, defining their attitude to any realities. Tyumen regional industrial advertising is one of the forms of mass communication. The relevance of this study is determined by the daily life, man is obliged to a greater degree of self-oriented among urban stream media in order to adapt to the conditions of everyday reality. Thus, the aim of the research is a scientific assessment of influence of the industrial advertising text on the ordinary consciousness of the different layers and cohorts of the population of the region. It is useful and interesting for other regions and countries. The main idea of the article is prove that English is occupied by leading position in the system of European multilingualism and industrial advertising. The influence of language on the formation of tastes, ideas, industrial policy and communication of industrial advertising is also revealed. Thus, the word globalization, English language and advertising strategies influence and form industrial communication.
Research of technological properties of casting polyurethane compounds
Authors: Alekhina R A , Lopatina Y A , Sviridov A S 
Published: March 2021

Abstract
The technological properties of three marks of casting polyurethane compounds Advaform 80, Silagerm 6080, Polyflex 80A were considered in the article. Those products were intended for manufacturing piston pump diaphragm. The effect of preparation of the mixture, expressed in the presence of vacuum processing, on the quality of the product was investigated. The viscosity of these marks of polyurethane compounds were determined with a rotary viscometer. It is shown that the time of vacuum processing is an important parameter of quality of castings, which in turn depends on the pot time of the polyurethane. It was also noted that the low viscosity of the compound does not always guarantee the best casting quality in processes of manually pouring, and the pot time of the compound has a much greater effect on the quality. As the optimal material for producing diaphragm was chosen Advaform 80 due to its long pot time, which made it possible to carry out high-quality vacuum processing with the formation of a minimum amount of bubbles.
Application of two types of embedded fiber-optic sensors for process-induced strain measurement in cement mixture
Authors: Kosheleva N , Serovaev G , Gusev G 
Published: March 2021

Abstract
Two types of fiber-optic sensors applied to process-induced strain measurements of cement mixture are compared in this study. Point fiber-optic strain sensors based on the Bragg grating and distributed fiber-optic strain sensors were embedded into cement sample at the manufacturing stage. Embedded optical fibers did not have any additional protective coating except standard one (polyimide or acrylate). Both systems remain their integrity and operability after casting and hardening of the studied material and show the good agreement in strain measurements at the period taken into consideration.
Measuring the synchronisation of agricultural prices: co-movement of cycles in pig and cattle prices in Brazil, Chile and Uruguay
Authors: Fliessbach Astrid , Ihle Rico 
Published: March 2021

Abstract
Simultaneous spikes in global prices of many agricultural commodities in recent years have induced an interest in quantifying the degree of synchronisation of these movements. We suggest a conceptual framework explaining why temporally varying price synchronisation may happen and propose the concordance index for the empirical measurement of the incidence, symmetry and permanence of synchronisation. We establish that the index generates insights into time series dynamics which are complementary to those obtained from cointegration analysis. We illustrate the approach with an application for the co-movement in cyclical components of pig and cattle prices in three Latin American countries. The findings reveal moderate synchronisation levels which show asymmetric instabilities.