Analysis of Students Emotion for Twitter Data using Naïve Bayes and Non Linear Support Vector Machine Approachs

Students' informal discussions on social media (e.g Twitter, Facebook) shed light into their educational understandings- opinions, feelings, and concerns about the knowledge process. Data from such surroundings can provide valuable knowledge about students learning. Examining such data, however can be challenging. The difficulty of students' experiences reflected from social media content requires human analysis. However, the growing scale of data demands spontaneous data analysis techniques. The posts of engineering students' on twitter is focused to understand issues and problems in their educational experiences. Analysis on samples taken from tweets related to engineering students' college life is conducted. The proposed work is to explore engineering students informal conversations on Twitter in order to understand issues and problems students encounter in their learning experiences. The encounter problems of engineering students from tweets such as heavy study load, lack of social engagement and sleep deprivation are considered as labels. To classify tweets reflecting students' problems multi-label classification algorithms is implemented. Non Linear Support Vector Machine, Naïve Bayes and Linear Support Vector Machine methods are used as multilabel classifiers which are implemented and compared in terms of accuracy. Non Linear SVM has shown more accuracy than Naïve Bayes classifier and linear Support Vector Machine classifier. The algorithms are used to train a detector of student problems from tweets. DOI: 10.17762/ijritcc2321-8169.150515

Geotechnical Aspect for Protection Bunds

The design team of Water & Environment division of Mott MacDonald, Ahmadabad was involved in design of Rubble mound protection bund for a Sea water intake and outfall project. The project was to provide make up sea water for 2x250 MW Lignite based Thermal Power Pant (TPP) at Bhavnagar for Bhavnagar Energy Company Limited. The makeup water required for TPP was drawn through Sea water Intake (SWI) area constructed in the intertidal zone of Gulf of Khambhat. The SWI area consists of a Pumping Station for pumping sea water from storage pond. The storage pond was surrounded by all around protection bund. Based on design requirement & available material near site, combination of Rubble mound protection bund and earthen embankment was considered for design having Armour stone layers as Break waters. The sizes of Armour stone was designed based on the wave modeling studies for return period of 25 years. The design life considered for bund was 25 years. Based on the wave modeling studies, significant wave height was determined and that was considered as design wave height for determining sizes of Armour stones. The main body of bund comprises of the core, built by quarry run & two under layers of armour stones. Apart from determining armour stone sizes, checking the overall bund formation for its stability was also an important criterion for design. For analyzing slope stability of Rubble mound and earthen bund, SLOPE/W software was used. Based on the analysis results from software, toe protection & scour protection at seaward face of the bund was proposed. This paper provides Geotechnical aspect of the bund that includes Bearing capacity check, Settlement check, and Slope Stability analysis for Seismic condition, Non seismic condition & hydrodynamic wave forces. Liquefaction potential of the soil was also considered in the study

Neuroadaptive incentivization in healthcare using Blockchain and IoT

Financially incentivizing health-related behaviors can improve health record outcomes and reduce healthcare costs. Blockchain and IoT technologies can be used to develop safe and transparent incentive schemes in healthcare. IoT devices, such as body sensor networks and wearable sensors, etc. connect the physical and digital world making it easier to collect useful health-related data for further analysis. There are, however, many security and privacy issues with the use of IoT. Some of these IoT security issues can be alleviated using Blockchain technology. Incorporating neuroadaptive technology can result in more personalized and effective therapies using machine learning algorithms and real-time feedback. The research investigates the possibilities of neuroadaptive incentivization in healthcare using Blockchain and IoT on patient health records. The core idea is to incentivize patients to keep their health parameters within standard range thereby reducing the load on healthcare system. In summary, we have presented a proof of concept for neuroadaptive incentivization in healthcare using Blockchain and IoT and discuss various applications and implementation challenges

NEWER OPHTHALMIC IN SITU GEL OF MOXIFLOXACIN HYDROCHLORIDE: OPTIMIZATION USING BOX BEHNKEN STATISTICAL DESIGN

Objective: The present research work aims at describing the formulation and evaluation of the ocular delivery system of moxifloxacin hydrochloride (MH) based on the concept of ion sensitive in situ gelations. Methods: In situ gel was prepared by a hot method using 0.6% of gelrite, 0.25% hydroxypropylmethylcellulose (HPMC K4M) and 0.023% tamarind gum as bioadhesive polymers for sustained drug release. Optimization was done by Box Behnken Design with different concentration of gelrite (X1), HPMC K4M (X2) and tamarind gum (X3) as independent variables. In situ gel was optimized based on mucoadhesion index (Y1), Gel strength (Y2) and in vitro drug release (Y3). Influence of the quantitative variable on the dependent variable was predicted by a polynomial equation. Results: Infrared spectroscopy excluded any interaction between drug and excipients. The selected independent variables significantly influenced the responses and were able to sustain the drug release. The prepared gel with a pH of 6.8 to 7.4 exhibited non-newtonian flow with no ocular irritation. The formulation remained stable with no change in pH and viscosity after 30 d of stability study. Conclusion: Thus, moxifloxacin hydrochloride (MH) in situ gel is a viable alternative to a conventional delivery system with the properties of sustained drug release, prolonged ocular retention, and improved corneal penetration

Arbuscular Mycorrhizal (AM) Fungi as a Tool for Sustainable Agricultural System

A sustainable agriculture is a type of agriculture that focuses on producing long-term crops and livestock without having any adverse effect on the environment. However, agricultural malpractices like excessive use of chemical fertilizers and pesticides, as well as climate change have aggravated the effects of biotic and abiotic stresses on crop productivity. These led to the degradation of ecosystem, leaving bad impacts on the soil qualities and water body environment. As an alternative to the rising agricultural energy, the use of Vesicular– Arbuscular Mycorrhizae (AM) may be a better option. Being natural root symbionts, AM provide essential inorganic nutrients to host plants, thereby improving its growth and yield even under stressed conditions. AM fungi can also potentially strengthen the adaptability of a plant to the changing environment, as a bio-fertilizer. The chapter provides a comprehensive up-to-date knowledge on AM fungi as a tool for sustainable agricultural system. Thus, further research focusing on the AM -mediated promotion of crop quality and productivity is needed

First aid knowledge among health assigned teachers of primary schools

Background: Every parents of a child knows that it is hard enough to keep their child safe at home but when child goes off to school there is a whole new set up of challenges. Parents totally entrust their children to the schools. They rely on the teachers as their second parents in the institute for learning. They know for a fact that their educators will want no harm to come their way. While they are busy working, they fully believe that their children are well cared for. On the other hand, the teachers have the responsibility to keep an eye on their students. They should make sure that they are comfortable and secured within the four walls of their school. This then calls for their ability to handle even the most stressful situations. So much more, the school staff, especially the health teacher has to be equipped with the knowledge of first aid.Methods: Non-experimental survey study was conducted to assess the knowledge of first-aid among Health assigned teacher working in selected schools of Dehradun city. Using purposive sampling technique 40 samples of different schools of Dehradun city was adopted to select the area.Results: Result shows that the majority of health assign teachers were having average knowledge about first aid i.e. 29 (72.5%) and 10 (25%) were having good knowledge and 1 (2.5%) was having poor knowledge regarding first aid. Majority of participant were female 21 (52.5%). The educational status of most participants was post graduate (67.5%). Majority of the schools were private 25 (62.5%). There is no significant association between socio-demographic variables i.e. Gender, level of schools, year of experience as a health assigned teacher and education provided by teacher, but qualifications of teachers and type of schools was found to have a significant association.(p> 0.05).Conclusions: First aid is the assistance given to any person suffering a sudden illness or injury, with care it is provided to preserve life and to prevent the condition from worsening, and for promoting recovery. It is important that health assigned teachers are equipped with strong, professional competencies. In order for health promotion actions to be sustainable in schools, teachers must be capable, competent and skilled health educators. As they are at prime position to contribute to a nations health gain through the provision of health education for future adults. Based on findings we can say that the health assigned teachers are having average knowledge regarding first aid. Therefore, the health assigned teachers must be equipped with appropriate and upgraded knowledge

Search for intermediate mass black hole binaries in the first and second observing runs of the Advanced LIGO and Virgo network

Gravitational-wave astronomy has been firmly established with the detection of gravitational waves from the merger of ten stellar-mass binary black holes and a neutron star binary. This paper reports on the all-sky search for gravitational waves from intermediate mass black hole binaries in the first and second observing runs of the Advanced LIGO and Virgo network. The search uses three independent algorithms: two based on matched filtering of the data with waveform templates of gravitational-wave signals from compact binaries, and a third, model-independent algorithm that employs no signal model for the incoming signal. No intermediate mass black hole binary event is detected in this search. Consequently, we place upper limits on the merger rate density for a family of intermediate mass black hole binaries. In particular, we choose sources with total masses M ¼ m1 þ m2 ∈ ½120; 800 M⊙ and mass ratios q ¼ m2=m1 ∈ ½0.1; 1.0. For the first time, this calculation is done using numerical relativity waveforms (which include higher modes) as models of the real emitted signal. We place a most stringent upper limit of 0.20 Gpc−3 yr−1 (in comoving units at the 90% confidence level) for equal-mass binaries with individual masses m1;2 ¼ 100 M⊙ and dimensionless spins χ1;2 ¼ 0.8 aligned with the orbital angular momentum of the binary. This improves by a factor of ∼5 that reported after Advanced LIGO’s first observing run.The authors gratefully acknowledge the support of the United States National Science Foundation (NSF) for the construction and operation of the LIGO Laboratory and Advanced LIGO as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the MaxPlanck-Society (MPS), and the State of Niedersachsen/ Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council. The authors gratefully acknowledge the Italian Istituto Nazionale di Fisica Nucleare (INFN), the French Centre National de la Recherche Scientifique (CNRS), and the Foundation for Fundamental Research on Matter supported by the Netherlands Organisation for Scientific Research, for the construction and operation of the Virgo detector and the creation and support of the EGO consortium. The authors also gratefully acknowledge research support from these agencies as well as by the Council of Scientific and Industrial Research of India, the Department of Science and Technology, India, the Science & Engineering Research Board, India, the Ministry of Human Resource Development, India, the Spanish Agencia Estatal de Investigación, the Vicepresid`encia i Conselleria d’Innovació, Recerca i Turisme and the Conselleria d’Educació i Universitat del Govern de les Illes Balears, the Conselleria d’Educació, Investigació, Cultura i Esport de la Generalitat Valenciana, the National Science Centre of Poland, the Swiss National Science Foundation, the Russian Foundation for Basic Research, the Russian Science Foundation, the European Commission, the European Regional Development Funds, the Royal Society, the Scottish Funding Council, the Scottish Universities Physics Alliance, the Hungarian Scientific Research Fund, the Lyon Institute of Origins, the Paris Île-de-France Region, the National Research, Development and Innovation Office Hungary, the National Research Foundation of Korea, Industry Canada and the Province of Ontario through the Ministry of Economic Development and Innovation, the Natural Science and Engineering Research Council Canada, the Canadian Institute for Advanced Research, the Brazilian Ministry of Science, Technology, Innovations, and Communications, the International Center for Theoretical Physics South American Institute for Fundamental Research, the Research Grants Council of Hong Kong, the National Natural Science Foundation of China, the Leverhulme Trust, the Research Corporation, the Ministry of Science and Technology, Taiwan, and the Kavli Foundation

Properties and Astrophysical Implications of the 150 M Binary Black Hole Merger GW190521

The gravitational-wave signal GW190521 is consistent with a binary black hole (BBH) merger source at redshift 0.8 with unusually high component masses, ${85}_{-14}^{+21}$ M and ${66}_{-18}^{+17}$ M, compared to previously reported events, and shows mild evidence for spin-induced orbital precession. The primary falls in the mass gap predicted by (pulsational) pair-instability supernova theory, in the approximate range 65-120 M. The probability that at least one of the black holes in GW190521 is in that range is 99.0%. The final mass of the merger (${142}_{-16}^{+28}$ M) classifies it as an intermediate-mass black hole. Under the assumption of a quasi-circular BBH coalescence, we detail the physical properties of GW190521's source binary and its post-merger remnant, including component masses and spin vectors. Three different waveform models, as well as direct comparison to numerical solutions of general relativity, yield consistent estimates of these properties. Tests of strong-field general relativity targeting the merger-ringdown stages of the coalescence indicate consistency of the observed signal with theoretical predictions. We estimate the merger rate of similar systems to be ${0.13}_{-0.11}^{+0.30}\,{{\rm{Gpc}}}^{-3}\,{{\rm{yr}}}^{-1}$. We discuss the astrophysical implications of GW190521 for stellar collapse and for the possible formation of black holes in the pair-instability mass gap through various channels: via (multiple) stellar coalescences, or via hierarchical mergers of lower-mass black holes in star clusters or in active galactic nuclei. We find it to be unlikely that GW190521 is a strongly lensed signal of a lower-mass black hole binary merger. We also discuss more exotic possible sources for GW190521, including a highly eccentric black hole binary, or a primordial black hole binary.The authors gratefully acknowledge the support of the United States National Science Foundation (NSF) for the construction and operation of the LIGO Laboratory and Advanced LIGO, as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the MaxPlanck-Society (MPS), and the State of Niedersachsen/ Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council

Search for Gravitational-wave Signals Associated with Gamma-Ray Bursts during the Second Observing Run of Advanced LIGO and Advanced Virgo

We present the results of targeted searches for gravitational-wave transients associated with gamma-ray bursts during the second observing run of Advanced LIGO and Advanced Virgo, which took place from 2016 November to 2017 August. We have analyzed 98 gamma-ray bursts using an unmodeled search method that searches for generic transient gravitational waves and 42 with a modeled search method that targets compact-binary mergers as progenitors of short gamma-ray bursts. Both methods clearly detect the previously reported binary merger signal GW170817, with p-values of <9.38 10-6 (modeled) and 3.1 10-4 (unmodeled). We do not find any significant evidence for gravitational-wave signals associated with the other gamma-ray bursts analyzed, and therefore we report lower bounds on the distance to each of these, assuming various source types and signal morphologies. Using our final modeled search results, short gamma-ray burst observations, and assuming binary neutron star progenitors, we place bounds on the rate of short gamma-ray bursts as a function of redshift for z ≤ 1. We estimate 0.07-1.80 joint detections with Fermi-GBM per year for the 2019-20 LIGO-Virgo observing run and 0.15-3.90 per year when current gravitational-wave detectors are operating at their design sensitivities

Gravitational-wave Constraints on the Equatorial Ellipticity of Millisecond Pulsars

We present a search for continuous gravitational waves from five radio pulsars, comprising three recycled pulsars (PSR J0437−4715, PSR J0711−6830, and PSR J0737−3039A) and two young pulsars: the Crab pulsar (J0534+2200) and the Vela pulsar (J0835−4510). We use data from the third observing run of Advanced LIGO and Virgo combined with data from their first and second observing runs. For the first time, we are able to match (for PSR J0437−4715) or surpass (for PSR J0711−6830) the indirect limits on gravitational-wave emission from recycled pulsars inferred from their observed spin-downs, and constrain their equatorial ellipticities to be less than 10−8. For each of the five pulsars, we perform targeted searches that assume a tight coupling between the gravitational-wave and electromagnetic signal phase evolution. We also present constraints on PSR J0711−6830, the Crab pulsar, and the Vela pulsar from a search that relaxes this assumption, allowing the gravitational-wave signal to vary from the electromagnetic expectation within a narrow band of frequencies and frequency derivatives