GLOBALISATION AND HIGHER EDUCATION THREAT OR OPPORTUNITY

India has successfully created one of the leading higher education systems in the world. It has proved its worth in this arena also. Eminence of many top institutions is recognized to be analogues to the best in the world. However, Indian education system faces problems from the issues that keep originating from disparities and developmental practices adopted. As a result of which even after all the remarkable development in the areas of Information Technology, space science, nuclear technology, oil exploration, industrial production etc., India is still not able to eradicate its problems of poverty, ignorance and underdevelopment completely and successfully due to various reasons.Nearly one-fourth of the population is still below poverty line; onethird are illiterate and disparities amongst rich-poor, urban-rural, educateduneducated are high, which are posing hindrances in the developmental phenomena. Now as the country has opened its door to the foreign contributors in the fields like education, the country has to face challenges of globalization and pressures of liberalization while continuing its fight against poverty, illiteracy and disadvantages to upgrade its stature from developing to a developed economy. Keeping the above in view, present paper deliberates the impact of globalisation on higher education with the analysis of the opportunities and threats

Are We Doing Enough? A Bibliometric Analysis of Hate Speech Research in the Selected Database of Scopus

The use of the bibilometric analytical technique for examining hate speech research does not exist in the literature till now. Phenomena of hate speech are quite novel and urgent. The objective of this study was to perform a bibliometric analysis of hate speech research work and publication in the Scopus index. Analysed parameters includes document type, publication output, most active countries, most involved universities and funding agencies etc. Social media and new media is one of the most powerful tool of communication. Digital world has gained its firm foothold. More and more communication, business, lifestyle related work is moving on-line. This has exponentially increased the number of users. Billions of users in this media means , more diverse conversations, opinions, agreements, disagreement, bullying and good and hate speech. Hate speech is worrying the institutions, business, social media host and government. This paper is an attempt to understand the true sense of hate speech. This paper aims to understand the presence of hate speech related research. The author feels that a sudden urgency can be seen and felt due to recent incidents pf hate speech in digital world. This was apparent from this bibiliometric analysis

The interplay between viral-derived miRNAs and host immunity during infection

MicroRNAs are short non-coding RNAs that play a crucial role in the regulation of gene expression during cellular processes. The host-encoded miRNAs are known to modulate the antiviral defense during viral infection. In the last decade, multiple DNA and RNA viruses have been shown to produce miRNAs known as viral miRNAs (v-miRNAs) so as to evade the host immune response. In this review, we highlight the origin and biogenesis of viral miRNAs during the viral lifecycle. We also explore the role of viral miRNAs in immune evasion and hence in maintaining chronic infection and disease. Finally, we offer insights into the underexplored role of viral miRNAs as potential targets for developing therapeutics for treating complex viral diseases

Impact of NaCl stress on the physiology of four cultivars of S. lycopersicum

To evaluate the genotypic variation of salt stress response in tomato, some morphological/physiological analyses were conducted on four tomato genotypes Pusa Ruby (PR), Punjab Keshari (PK), Ailsa Craig (AC) and Roma (RM). Some predictive screening parameters were set and applied at an early stage of the growth of the tomato plants. Four tomato cultivars were grown in 0.5xMS with different concentration of NaCl (0, 50, 100, 150 and 200mM). 24-day period of salt stress was applied on 15-day old plants. Morphologic and physiologic changes were determined depending on increasing NaCl concentrations. The genotypes exhibited different responses in terms of plant growth, particularly root/shoot growth, FW/DW (Fresh- Weight/Dry-Weight), accumulation of Na+, K+, Ca2+ and Mg2+. K+/Na+ and Ca2+/Na+ ratios were investigated. It was observed that, more K+ or Ca2+ absorbing plant with high K+/Na+ and Ca2+/Na+ ratios show better resistance to salt stress. As evidenced, PK appeared to be the most tolerant genotype while RM was the most sensitive one. AC and PR exhibited intermediary behaviours, suggesting the importance of making use of genetic variability. The research was conducted in a completely randomized design with three replications

The quality of antenatal care services in Shivrajpur block of district Kanpur: a community based survey

Background: India is amongst the top five countries in terms of absolute numbers of maternal deaths. In Uttar Pradesh MMR is even higher than national average. In spite of better utilisation of ante-natal services, pregnancy outcome is not significantly improving. Reason behind it is that worrying gaps in quality of antenatal care exist which lead to poor effectiveness of ANC in practice.  Methods: In the present study quality of antenatal care services utilised by 286 recently delivered women (RDWs) in last one year in Shivrajpur block of district Kanpur was conducted from August 2012 to July 2013. A predesigned questionnaire was used for data collection. Information regarding age, parity, and detailed history of antenatal care & place of antenatal care were collected after taking verbal consent.  Results: Majority (76.1%) of women were within 20 to 30 year of age who had delivered in last one year while 13.6% of women were within 20 year of age. In present study we find 91.9% coverage of antenatal care which was based on receiving at least one antenatal check-up. Majority (73.1%) of women received antenatal care from public facility (SC/PHC/CHC/Govt. Hospital). Out of 263 RDWs who received ANC, three-fourths had weight measurement (74.9%), their abdomen examined (76.4%) and hemoglobin estimation (69.6%) done. Less than two-thirds had height (60.8%) and blood pressure measured (66.2%). Nearly one of the two RDWs had urine examination (50.2%) and told about pregnancy complications & danger signs. Only 14.8% RDWs consumed 100 IFA tablet. TT injection was received by 79.5% of RDWs. Full ANC was taken by only 16.3% RDWs.Conclusion: Poor qualities of antenatal have a limited potential to affect maternal mortality. High-risk screening during antenatal care, as a means of identifying women for facility-based intra-partum care, is not effective for women who subsequently failed to obtain complete package of antenatal care.

Y -cone metric spaces and coupled common fixed point results with application to integral equation

This paper acquaints with a concept of Y -cone metric space and to study some topological properties of Y -cone metric space. We prove the coupled common fixed point results for mixed weakly monotone map in ordered Y -cone metric spaces. We give an example, which constitutes the main theorem.Publisher's Versio

The State-of-the-Art in Air Pollution Monitoring and Forecasting Systems using IoT, Big Data, and Machine Learning

The quality of air is closely linked with the life quality of humans, plantations, and wildlife. It needs to be monitored and preserved continuously. Transportations, industries, construction sites, generators, fireworks, and waste burning have a major percentage in degrading the air quality. These sources are required to be used in a safe and controlled manner. Using traditional laboratory analysis or installing bulk and expensive models every few miles is no longer efficient. Smart devices are needed for collecting and analyzing air data. The quality of air depends on various factors, including location, traffic, and time. Recent researches are using machine learning algorithms, big data technologies, and the Internet of Things to propose a stable and efficient model for the stated purpose. This review paper focuses on studying and compiling recent research in this field and emphasizes the Data sources, Monitoring, and Forecasting models. The main objective of this paper is to provide the astuteness of the researches happening to improve the various aspects of air polluting models. Further, it casts light on the various research issues and challenges also.Comment: 30 pages, 11 figures, Wireless Personal Communications. Wireless Pers Commun (2023

A survey and perspective on neuromorphic continual learning systems

With the advent of low-power neuromorphic computing systems, new possibilities have emerged for deployment in various sectors, like healthcare and transport, that require intelligent autonomous applications. These applications require reliable low-power solutions for sequentially adapting to new relevant data without loss of learning. Neuromorphic systems are inherently inspired by biological neural networks that have the potential to offer an efficient solution toward the feat of continual learning. With increasing attention in this area, we present a first comprehensive review of state-of-the-art neuromorphic continual learning (NCL) paradigms. The significance of our study is multi-fold. We summarize the recent progress and propose a plausible roadmap for developing end-to-end NCL systems. We also attempt to identify the gap between research and the real-world deployment of NCL systems in multiple applications. We do so by assessing the recent contributions in neuromorphic continual learning at multiple levels—applications, algorithms, architectures, and hardware. We discuss the relevance of NCL systems and draw out application-specific requisites. We analyze the biological underpinnings that are used for acquiring high-level performance. At the hardware level, we assess the ability of the current neuromorphic platforms and emerging nano-device-based architectures to support these algorithms in the presence of several constraints. Further, we propose refinements to continual learning metrics for applying them to NCL systems. Finally, the review identifies gaps and possible solutions that are not yet focused upon for deploying application-specific NCL systems in real-life scenarios

Bug Management Using Machine Learning

Automated tests of software can often independently log different bugs for the same underlying problem (root cause). Manually identifying duplicate bugs is a source of toil for engineers. A related problem of bug management is that of bug routing, e.g., determining the right team or person to route a bug report to for the purposes of debugging. This disclosure describes techniques for bug deduplication and bug routing based on machine learning (ML). Per the techniques, a binary machine classification model is trained to aggregate bugs with a common root cause. Bugs in a class of bugs with a common root cause are deduplicated, e.g., represented by just one of the multiple bugs in the class. Further, a multi-class ML model is trained to predict the right team for handling a new (incoming) bug

Integrating Bug Deduplication in Software Development and Testing

A bug deduplicator identifies independently discovered bugs that have the same underlying cause. Deduplication of bugs reduces toil for the software team by reducing the number of bugs that developers need to examine. However, if a bug deduplicator incorrectly classifies a bug as a duplicate, human developers might ignore the bug, allowing it to escape to production. A tradeoff exists between toil reduction and risk tolerance. This disclosure describes techniques that enable a software team to trade off the effort to remove bugs (e.g., auto-close bugs so that humans save toil and time) against the risk of errors in a bug deduplicator. Custom settings and a confidence level that a bug is a duplicate are used to determine whether to log a particular bug, to log it with comments, etc. The techniques enable the embedding of a bug deduplicator at suitable locations within a software development toolchain. The performance of the bug deduplicator can be fine-tuned in real-time by an analysis of its true negative and false positive metrics