Regional climate projections in two alpine river basins: Upper Danube and Upper Brahmaputra

Projections from coarse-grid global circulation models are not suitable for regional estimates of water balance or trends of extreme precipitation and temperature, especially not in complex terrain. Thus, downscaling of global to regionally resolved projections is necessary to provide input to integrated water resources management approaches for river basins like the Upper Danube River Basin (UDRB) and the Upper Brahmaputra River Basin (UBRB). This paper discusses the application of the regional climate model COSMO-CLM as a dynamical downscaling tool. To provide accurate data the COSMO-CLM model output was post-processed by statistical means. This downscaling chain performs well in the baseline period 1971 to 2000. However, COSMO-CLM performs better in the UDRB than in the UBRB because of a longer application experience and a less complex climate in Europe. Different climate change scenarios were downscaled for the time period 1960–2100. The projections show an increase of temperature in both basins and for all seasons. The values are generally higher in the UBRB with the highest values occurring in the region of the Tibetan Plateau. Annual precipitation shows no substantial change. However, seasonal amounts show clear trends, for instance an increasing amount of spring precipitation in the UDRB. Again, the largest trends for different precipitation statistics are projected in the region of the Tibetan Plateau. Here, the projections show up to 50% longer dry periods in the months June to September with a simultaneous increase of about 10% for the maximum amount of precipitation on five consecutive days. For the Assam region in India, the projections also show an increase of 25% in the number of consecutive dry days during the monsoon season leading to prolonged monsoon breaks

Sentiment Analysis of Twitter Data for Predicting Stock Market Movements

Predicting stock market movements is a well-known problem of interest. Now-a-days social media is perfectly representing the public sentiment and opinion about current events. Especially, twitter has attracted a lot of attention from researchers for studying the public sentiments. Stock market prediction on the basis of public sentiments expressed on twitter has been an intriguing field of research. Previous studies have concluded that the aggregate public mood collected from twitter may well be correlated with Dow Jones Industrial Average Index (DJIA). The thesis of this work is to observe how well the changes in stock prices of a company, the rises and falls, are correlated with the public opinions being expressed in tweets about that company. Understanding author's opinion from a piece of text is the objective of sentiment analysis. The present paper have employed two different textual representations, Word2vec and N-gram, for analyzing the public sentiments in tweets. In this paper, we have applied sentiment analysis and supervised machine learning principles to the tweets extracted from twitter and analyze the correlation between stock market movements of a company and sentiments in tweets. In an elaborate way, positive news and tweets in social media about a company would definitely encourage people to invest in the stocks of that company and as a result the stock price of that company would increase. At the end of the paper, it is shown that a strong correlation exists between the rise and falls in stock prices with the public sentiments in tweets.Comment: 6 pages 4 figures Conference Pape

Deflection of light by black holes and massless wormholes in massive gravity

Weak gravitational lensing by black holes and wormholes in the context of massive gravity (Bebronne and Tinyakov 2009) theory is studied. The particular solution examined is characterized by two integration constants, the mass $M$ and an extra parameter $S$ namely `scalar charge'. These black hole reduce to the standard Schwarzschild black hole solutions when the scalar charge is zero and the mass is positive. In addition, a parameter $\lambda$ in the metric characterizes so-called 'hair'. The geodesic equations are used to examine the behavior of the deflection angle in four relevant cases of the parameter $\lambda$. Then, by introducing a simple coordinate transformation $r^\lambda=S+v^2$ into the black hole metric, we were able to find a massless wormhole solution of Einstein-Rosen (ER) \cite{Einstein} type with scalar charge $S$. The programme is then repeated in terms of the Gauss--Bonnet theorem in the weak field limit after a method is established to deal with the angle of deflection using different domains of integration depending on the parameter $\lambda$. In particular, we have found new analytical results corresponding to four special cases which generalize the well known deflection angles reported in the literature. Finally, we have established the time delay problem in the spacetime of black holes and wormholes, respectively.Comment: 21 pages, 3 figures, accepted for publication in European Physical Journal

Experimental studies on extraction of valuable fuels from karanja and neem seed by pyrolysis

Today we see everywhere that oil has become inherent part of our daily life. Every activity is dependent on the requirement of fuels be it directly or indirectly. The demand of fuels is increasing day by day. Import dependence for oil in India which is about 70 per cent, is likely to increase further. As we all know that the petroleum resources are limited and are non-renewable in nature, we must start to think about the alternatives as we are likely to run out of the petroleum resources in few decades or so. Stress must be given to production of energy from renewable sources as they are biodegradable and non-toxic. Here an attempt has made to study the feasibility of production of valuable fuels from natural but non edible seeds such as karanja and neem seeds by the method of pyrolysis. Here the production of the fuel can serve purpose of alternative fuels as biomass pyrolysis oil has potential to be used as fuel oil or its substitute

Whole genome sequencing and analysis on the trios of the Che Wong and Semai:understanding the medico-genomic association / Rose Iszati Ismet Nayan

As to date, there is no report on the architecture of the whole genomes of the unique Orang Asli subtribes in Peninsular Malaysia. The Che Wong was selected as the group of interest as they have a dwindling population of 651, while the Semai Orang Asli with a population number of 51,313 was selected as the control group. The Semai is the largest sub-tribe of the Senoi which is also the largest group amongst the Orang Asli. This study aims to understand the variation in genomics composition of the Che Wong and Semai Orang Asli by a deep and systematic characterization of the genome through development of an in-house bioinformatics pipeline. The disease risk and protection conferred by genetic traits were explored via sequencing the whole genome of a trio family of both the Che Wong and Semai subtribes. The Che Wong and Semai genomes were sequenced and mapped to the human reference genome (hg19) with an average coverage of 44.1x and 43.0x, respectively. A total of ~6.23 million and ~6.18 million variants were identified for the Che Wong and Semai trios, respectively

Whole genome sequencing and analysis on the trios of the Che Wong and Semai:understanding the medico-genomic association / Rose Iszati Ismet Nayan

As to date, there is no report on the architecture of the whole genomes of the unique Orang Asli subtribes in Peninsular Malaysia. The Che Wong was selected as the group of interest as they have a dwindling population of 651, while the Semai Orang Asli with a population number of 51,313 was selected as the control group. The Semai is the largest sub-tribe of the Senoi which is also the largest group amongst the Orang Asli. This study aims to understand the variation in genomics composition of the Che Wong and Semai Orang Asli by a deep and systematic characterization of the genome through development of an in-house bioinformatics pipeline. The disease risk and protection conferred by genetic traits were explored via sequencing the whole genome of a trio family of both the Che Wong and Semai subtribes. The Che Wong and Semai genomes were sequenced and mapped to the human reference genome (hg19) with an average coverage of 44.1x and 43.0x, respectively. A total of ~6.23 million and ~6.18 million variants were identified for the Che Wong and Semai trios, respectively

The new nucleoporin: Regulator of transcriptional repression and beyond

Transcriptional regulation is a complex process that requires the integrated action of many multi-protein complexes. The way in which a living cell coordinates the action of these complexes in time and space is still poorly understood. Recent work has shown that nuclear pores, well known for their role in 3′ processing and export of transcripts, also participate in the control of transcriptional initiation. We have recently begun to explore how nuclear pores interface with the well-described machinery that regulates initiation. This work led to the discovery that specific nucleoporins are required for binding of the repressor protein Mig1 to its site in target promoters. Nuclear pores are therefore involved in repressing, as well as activating, transcription. Here we discuss in detail the main models explaining our result and consider what each implies about the roles that nuclear pores play in the regulation of gene expression