http://repository.ias.ac.in/39608/1/49_pub.pdf

A review of imperative technologies for wastewater treatment I: oxidation technologies at ambient conditions

A review of imperative technologies for wastewater treatment II: hybrid methods

The [2 + 2] photocycloaddition is undisputedly the most important and most frequently used photochemical reaction. In this review, it is attempted to cover all recent aspects of [2 + 2] photocycloaddition chemistry with an emphasis on synthetically relevant, regio-, and stereoselective reactions. The review aims to comprehensively discuss relevant work, which was done in the field in the last 20 years (i.e., from 1995 to 2015). Organization of the data follows a subdivision according to mechanism and substrate classes. Cu(I) and PET (photoinduced electron transfer) catalysis are treated separately in sections 2 and 4, whereas the vast majority of photocycloaddition reactions which occur by direct excitation or sensitization are divided within section 3 into individual subsections according to the photochemically excited olefin.

http://pubs.acs.org/doi/pdf/10.1021/acs.chemrev.5b00723

Recent Advances in the Synthesis of Cyclobutanes by Olefin [2+2] Photocycloaddition Reactions

A review of applications of cavitation in biochemical engineering/biotechnology

CLINICAL NEUROSURGERY Edited by Barnes Wordall. Vol. 18. (Pp. 557; illustrated; £8 25.) Churchill Livingstone: Edinburgh. 1971. CLINICAL NEUROSURGERY Edited by G. T. Tindall. Vol. 19. (Pp. 598; illustrated; £12.) Churchill Livingstone: Edinburgh. 1972. The Congress of Neurosurgeons began in 1951 on the initiative of a group of younger neurosurgeons. In the last 20 years its membership has grown from 69 to over 1,000, but it has retained its original intentions and virility by a constitution which ensured that the office bearers and organizers were always young men. Residents in training are encouraged to join, financial concessions make it possible for them to attend meetings, and these are organized as an educational exercise, by inviting established authorities to give lectures on selected topics, chosen to provide a balanced programme. As a result Clinical Neurosurgery is a valuable volume which all neurosurgeons look forward to each year; it is in quite a different class from the usual conference tome, full of brief and unconnected papers of widely varying quality. As the title suggests Clinical Neurosurgery includes excellent clinical reviews but the two recent volumes include also a section of seminars on fundamental research-in volume 18 on coma and sleep, in volume 19 on basic mechanisms of memory. It is also the custom to invite a senior neurosurgical citizen as guest of honour and his two or three papers afford an opportunity for historical and philosophical reflections as well as an experienced perspective on clinical and experimental work. Add to this the refreshing presidential address, from one of the (angry?) young men of neurosurgery and it will be clear that these volumes really do include something of interest for every neurosurgeon, whatever his own interests or prejudices. It is a relief to be able so warmly to recommend these books, when the question posed by so many other books is whether anyone would really want to read them. The most recent volume has a more consistent theme than former ones, and that is 'head injury'. It includes papers on mechanisms as revealed by animal experiment and by a pathologist who visited the scene of the accident before examining the brains of head injury fatalities. There are chapters on engineering and socio-psychological aspects of accident prevention, as well as down to earth clinical accounts of metabolic disorders, testing for acoustic vestibular 36 damage, and aspects of prognosis. This is a significant contribution to the literature on head injury.

https://jnnp.bmj.com/content/jnnp/37/3/361.3.full.pdf

The working brain (an introduction to neuropsychology)

Most of the real world prediction problems are naturally associated with time component which requires time series data as input. Presently, machine learning approaches are used for forecasting pur...

Addressing big data issues using RNN based techniques

Heart sounds provide important information about cardiac status either through auscultation or by processing of electronic recordings of heart sounds, termed as phonocardiogram (PCG). The current study analyzes the relation between PCG signal from four auscultation sites for diagnosis of coronary artery disease (CAD). For this purpose, data collected from four locations on chest is analysed using cross power spectral density (CPSD). The features from spectrum are derived using distribution of power and their moments in subbands. ReliefF algorithm is employed for selecting features to be used in classification framework. Performance is evaluated using five-fold cross-validation in a support vector machine (SVM) classifier. Experimental results show that multichannel analysis performs better than existing features, as well as for same CPSD based features derived from single channel power spectrum. Different subband width were experimentally analysed to find an optimal width for feature extraction. The study shows the potential of using connectivity between PCG signals from multiple sites for diagnosing CAD related abnormality.

Identification of Coronary Artery Disease using Cross Power Spectral Density

Animal cell line culture is difficult in the existing conventional bioreactors. A substantial amount of animal cells are destroyed by the impinging fan blades or entrapment inside the bubbles. An endeavor has been made to design and develop a new type of bioreactor suitable for animal cell culture. The bioreactor is named a see-saw' bioreactor from its underlying principle of operation. In this paper, the oxygen transfer characteristics of the 'see-saw' bioreactor are modeled and tried to be verified.

Modeling of the Oxygen Transfer Characteristics of a ‘See-Saw’ Bioreactor

Blockchain technology is one of the key technologies that have the potential to solve many of the Internet of Things (IoT) challenges. The IoT environment consists of numerous resource-constrained devices. The security and privacy of these devices have become primary concerns among consumers and businesses. Although, Blockchain could provide better security and privacy to these devices, their limited memory, battery life, and processing capabilities make Blockchain-IoT integration very challenging. Current implementations of Blockchain use cryptographic schemes like SHA-256 and ECDSA. However, the resource-constrained nature of IoT devices demands lightweight versions of the Blockchain for IoT. In this work, a lightweight hash-based Blockchain (LightBC) is proposed for the IoT, which adapts the SPONGENT hash function. It has been emulated and compared with SHA-256 based Blockchain on a Blockchain emulator and satisfactory results were found for upto 8000 nodes. The IoT architecture has also been proposed for implementing the same.

LightBC: A Lightweight Hash-Based Blockchain for the Secured Internet of Things

Line Spectral Pairs Frequencies (LSFs) provide an alternative representation of the linear prediction coefficients In this paper an investigation is carried out for extracting feature for speaker identification task which is based on perceptual analysis of speech signal and LSF A modified version of the standard perceptual analysis is applied to obtain better performance We have extracted the conventional LSF from the perceptually modified speech signal State-of-the art Gaussian Mixture Model (GMM) based classifier is employed to design the closed set speaker identification system The proposed method shows significant performance improvement over existing techniques in three different speech corpuses

Goutam Saha

Papers

Addressing big data issues using RNN based techniques

Identification of Coronary Artery Disease using Cross Power Spectral Density

Modeling of the Oxygen Transfer Characteristics of a ‘See-Saw’ Bioreactor

LightBC: A Lightweight Hash-Based Blockchain for the Secured Internet of Things

On the use of perceptual Line Spectral Pairs Frequencies for speaker identification