Unleashing the Power of Hashtags in Tweet Analytics with Distributed Framework on Apache Storm

Twitter is a popular social network platform where users can interact and post texts of up to 280 characters called tweets. Hashtags, hyperlinked words in tweets, have increasingly become crucial for tweet retrieval and search. Using hashtags for tweet topic classification is a challenging problem because of context dependent among words, slangs, abbreviation and emoticons in a short tweet along with evolving use of hashtags. Since Twitter generates millions of tweets daily, tweet analytics is a fundamental problem of Big data stream that often requires a real-time Distributed processing. This paper proposes a distributed online approach to tweet topic classification with hashtags. Being implemented on Apache Storm, a distributed real time framework, our approach incrementally identifies and updates a set of strong predictors in the Na\"ive Bayes model for classifying each incoming tweet instance. Preliminary experiments show promising results with up to 97% accuracy and 37% increase in throughput on eight processors.Comment: IEEE International Conference on Big Data 201

A Review on Full Duplex Radio Over Fiber Using Fiber Bragg Grating

A communication system has an incredible way of expanding the high broadband limit and to accomplish a much better network coverage. Radio over Fiber holds an extraordinary potential to yield a superior efficiency for the present wireless broadband communication systems. Radio over fiber take into account an untethered access to the systems for applications like low line losses, wide coverage area and capacity or limit. The wireless network is view of radio-over-fiber (RoF) innovation is an extremely valuable arrangement so as to meet the steadily expanding interest for larger transmission bandwidth. In this paper, review of cost effective full duplex RoF transport system with remodulation using Fiber Bragg Grating (FBG) has been presented

Study of body mass index (BMI) and serum lipid profile of patients at a tertiary hospital: a cross sectional study

Background: Sedentary lifestyle have an impact on the prevalence and incidence of obesity related disorders and leads to the development of type 2 diabetes mellitus, dyslipidemias and metabolic disorders that aggravate the risk in the development of cardiovascular diseases (CVD).Methods: In our study, data of 220 subjects belonging to age group of 25 to 55 years were collected. Body mass index (BMI) was calculated as weight in kilograms divided by the square of height in meters. Subjects were categorized into two groups (BMI <25 and BMI ≥25). Serum was separated by centrifuging blood at 3000 rpm for 10 min and analyzed for lipid profile on Erba Chem 7 semi-auto analyzer.Results: In our present hospital based study we estimated the Lipid Profile in individuals categorized into two groups. (Group 1 BMI <25) and (Group 2 BMI ≥25), We found the values of Triglycerides, LDL and VLDL in Group 1 are lower as compared to Group 2.Conclusions: Our study showed positive correlation between lipid profile and obesity. Obesity is said to predispose individuals to metabolic syndrome associated diseases

Distinct and Shared Roles of β-Arrestin-1 and β-Arrestin-2 on the Regulation of C3a Receptor Signaling in Human Mast Cells

Background: The complement component C3a induces degranulation in human mast cells via the activation of cell surface G protein coupled receptors (GPCR; C3aR). For most GPCRs, agonist-induced receptor phosphorylation leads to the recruitment of β-arrestin-1/β-arrestin-2; resulting in receptor desensitization and internalization. Activation of GPCRs also leads to ERK1/2 phosphorylation via two temporally distinct pathways; an early response that reflects G protein activation and a delayed response that is G protein independent but requires β-arrestins. The role of β-arrestins on C3aR activation/regulation in human mast cells, however, remains unknown. Methodology/Principal Findings: We utilized lentivirus short hairpin (sh)RNA to stably knockdown the expression of β-arrestin-1 and β-arrrestin-2 in human mast cell lines, HMC-1 and LAD2 that endogenously expresses C3aR. Silencing β-arrestin-2 attenuated C3aR desensitization, blocked agonist-induced receptor internalization and rendered the cells responsive to C3a for enhanced NF-κB activity as well as chemokine generation. By contrast, silencing β-arrestin-1 had no effect on these responses but resulted in a significant decrease in C3a-induced mast cell degranulation. In shRNA control cells, C3a caused a transient ERK1/2 phosphorylation, which peaked at 5 min but disappeared by 10 min. Knockdown of β-arrestin-1, β-arrestin-2 or both enhanced the early response to C3a and rendered the cells responsive for ERK1/2 phosphorylation at later time points (10-30 min). Treatment of cells with pertussis toxin almost completely blocked both early and delayed C3a-induced ERK1/2 phosphorylation in β-arrestin1/2 knockdown cells. Conclusion/Significance: This study demonstrates distinct roles for β-arrestins-1 and β-arrestins-2 on C3aR desensitization, internalization, degranulation, NF-κB activation and chemokine generation in human mast cells. It also shows that both β-arrestin-1 and β-arrestin-2 play a novel and shared role in inhibiting G protein-dependent ERK1/2 phosphorylation. These findings reveal a new level of complexity for C3aR regulation by β-arrestins in human mast cells. © 2011 Vibhuti et al

An Enhanced Deep Convolutional Neural Network for Classifying Indian Classical Dance Forms

Indian classical dance (ICD) classification is an interesting subject because of its complex body posture. It provides a stage to experiment with various computer vision and deep learning concepts. With a change in learning styles, automated teaching solutions have become inevitable in every field, from traditional to online platforms. Additionally, ICD forms an essential part of a rich cultural and intangible heritage, which at all costs must be modernized and preserved. In this paper, we have attempted an exhaustive classification of dance forms into eight categories. For classification, we have proposed a deep convolutional neural network (DCNN) model using ResNet50, which outperforms various state-of-the-art approaches.Additionally, to our surprise, the proposed model also surpassed a few recently published works in terms of performance evaluation. The input to the proposed network is initially pre-processed using image thresholding and sampling. Next, a truncated DCNN based on ResNet50 is applied to the pre-processed samples. The proposed model gives an accuracy score of 0.911

Use of traditional and complementary medicine by ethnic Indian women living with polycystic ovary syndrome: a global survey

Background: Traditional, complementary, and integrative medicine (TCIM) is commonly used by those living with Polycystic Ovary Syndrome (PCOS) but little is known about the use of TCIM such as yoga and Ayurveda in ethnic Indian women with PCOS living worldwide. This survey aimed to explore the prevalence and types of TCIM used and in particular the pattern of use of yoga and Ayurveda including reasons for not using and future interest in using them among non-users. Method: An online, international cross-sectional survey was conducted using a pre-designed survey tool. Participants were ethnic Indian women of reproductive age who reported that they were medically diagnosed with PCOS. Descriptive analysis was used to identify the proportion of TCIM users, while a multivariable binary logistic regression was used to analyze their characteristics. Results: Data from 3130 respondents were analysed. The prevalence of TCIM use was 80% (2515/3130). Yoga and Ayurveda were the most frequently practised TCIM modalities with a prevalence of 57% and 37% respectively. We found a high future interest in using yoga (81%) and Ayurveda (70%) among the non-users. The motivation for most Ayurveda use was a recommendation from family/friends (66%), rather than personal choice (38%) or the internet (19%). Most women used Ayurveda because it has natural ingredients (64%) and it is safe (60%) and cited its use to be safe and somewhat helpful. The majority of women were currently practising yoga (73%) up to four times a week (54%) at home (93%). Yoga was primarily used to improve overall health (67%), manage weight (64%), stress (54%) hormonal imbalance (49%) and emotional well-being (48%). Barriers to practising yoga were common among the current users and non-users and included lack of motivation (59% and 59%), time constraints (48% and 39%), and non-availability of yoga teachers specialised in PCOS (31% and 23%). Most women found yoga to be helpful and preferred individual one-on-one (52%) yoga sessions specifically tailored for PCOS (58%). Conclusion: This is the first international study that discovered the prevalence and pattern of TCIM use among ethnic Indian women with PCOS living worldwide. We support the urgent need for more research, education, and regulation of different TCIM modalities to promote safe and effective practices globally

Effectiveness of life skills training interventions for the empowerment of women in developing countries: a systematic review

This systematic review evaluates the effectiveness of life skills training intervention programmes in empowering women in developing countries. Life skills training has emerged as a popular approach to empowerment, often as a part of a multicomponent intervention. Overall, the systematic review finds that life skills positively affect a range of self, social and economic empowerment outcomes. Small but significant positive changes were detected for a range of outcome areas including leadership, attitudes to gender issues, sexual and reproductive health and rights, employment and life skills themselves. There is some indication that multi-component approaches may be more effective. Life skills training can be called a promising approach with potential for supporting women's empowerment in climate and agricultural projects. Including life skills interventions within components of Green Climate Fund and International Fund for Agricultural Development project interventions can contribute to transforming women’s lives, livelihoods and societal roles

Distinct and Shared Roles of β-Arrestin-1 and β-Arrestin-2 on the Regulation of C3a Receptor Signaling in Human Mast Cells

BACKGROUND: The complement component C3a induces degranulation in human mast cells via the activation of cell surface G protein coupled receptors (GPCR; C3aR). For most GPCRs, agonist-induced receptor phosphorylation leads to the recruitment of β-arrestin-1/β-arrestin-2; resulting in receptor desensitization and internalization. Activation of GPCRs also leads to ERK1/2 phosphorylation via two temporally distinct pathways; an early response that reflects G protein activation and a delayed response that is G protein independent but requires β-arrestins. The role of β-arrestins on C3aR activation/regulation in human mast cells, however, remains unknown. METHODOLOGY/PRINCIPAL FINDINGS: We utilized lentivirus short hairpin (sh)RNA to stably knockdown the expression of β-arrestin-1 and β-arrrestin-2 in human mast cell lines, HMC-1 and LAD2 that endogenously expresses C3aR. Silencing β-arrestin-2 attenuated C3aR desensitization, blocked agonist-induced receptor internalization and rendered the cells responsive to C3a for enhanced NF-κB activity as well as chemokine generation. By contrast, silencing β-arrestin-1 had no effect on these responses but resulted in a significant decrease in C3a-induced mast cell degranulation. In shRNA control cells, C3a caused a transient ERK1/2 phosphorylation, which peaked at 5 min but disappeared by 10 min. Knockdown of β-arrestin-1, β-arrestin-2 or both enhanced the early response to C3a and rendered the cells responsive for ERK1/2 phosphorylation at later time points (10-30 min). Treatment of cells with pertussis toxin almost completely blocked both early and delayed C3a-induced ERK1/2 phosphorylation in β-arrestin1/2 knockdown cells. CONCLUSION/SIGNIFICANCE: This study demonstrates distinct roles for β-arrestins-1 and β-arrestins-2 on C3aR desensitization, internalization, degranulation, NF-κB activation and chemokine generation in human mast cells. It also shows that both β-arrestin-1 and β-arrestin-2 play a novel and shared role in inhibiting G protein-dependent ERK1/2 phosphorylation. These findings reveal a new level of complexity for C3aR regulation by β-arrestins in human mast cells