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Nitrogen is one of the most yield-limiting nutrients for rice production, and proper nitrogen fertilizer management is critical for high yield. In rice research, more time and energy are devoted to managing nitrogen fertilizer than any other nutrient because of the high potential for a return on the fertilizer investment.Considering this, an experiment was conducted at the Soil Science farm, Bangladesh Agricultural University, Mymensingh, Bangladesh during July 2017 to December 2017 in Aman season to examine the effect of different doses of nitrogen fertilizer on growth and yield of T. Aman rice variety (BRRI Hybrid Dhan4). The experiment consisted of four nitrogen levels (viz. 0,40, 80and 100 kg N ha-1) in a randomized complete block design with three replicates. The grain yield increased over control varied from 47% to 53%. The highest grain yield was observed 53% for treatment T3 (N80) and the lowest was recorded 47% in treatment T2 (N40). The highest N uptake was recorded 134.16 kg ha-1for treatment T3 when rice plants were fertilized with 80 kg N ha which was statistically similar to T4 and the lowest 62.45 kg ha-1 in treatment T1 (control). However the overall performance on yield contributing parameters was found on T3 treatment. We concluded that application of the intermediate levelof nitrogen (80 kg N ha-1) was economical and environment-friendly for the cultivation of BRRI Hybrid Dhan4.

BACKGROUND : Emotions are our feelings; if properly used are essential tools for successful and fulfilling life. Emotional Intelligence (EI) is defined as "the composite set of capabilities that enable a person to manage himself / herself and others". Six important facets of Emotional Intelligence are: self-awareness, self-confidence, self-control, empathy, motivation and social-competency. The stereotype of women being the more "emotional" sex survives to this day and women tend to have an edge over men when it comes to basic skills for a happy and successful life. AIMS : The objective of the study was to determine the gender differences in Emotional Intelligence among first year medical students. SETTINGS & STUDY DESIGN : The study included 150 first year medical students. Informed consent and ethical clearance was obtained. METHODS : Emotional Intelligence was assessed using emotional quotient self- assessment checklist to which subjects responded on five-point Likert scale. RESULTS : The mean scores of Emotional Intelligence in males and females were compared using unpaired students t-test. Emotional Intelligence was significantly high in females (105.34+7.73) compared to males (102.06+8.87) (p =0.02). CONCLUSION : The reason might be due to the fact that women tend to be more emotionally expressive than men and understand emotions better. In addition, some evidence exists that certain areas of the brain dedicated to processing emotions could be larger in women than in men. Hence the present study may provide a better insight into individual's emotional development and also psychoeducational intervention on individual's emotional balance which might indirectly influence their success in career and family life.

International audience

Sodium leak on concrete structures lead to substantial damage due to thermal and chemical attack. Limestone concrete is widely used on floor, housing sodium components. The present study focuses on degradation behavior of limestone concrete under limited time exposure at 550°C in open air. The reduction in its compressive strength after interaction with liquid sodium was about 29%. Chemical analysis of sodium exposed specimen confirmed a bulk penetration of sodium up to 20 mm depth with localized penetration of 44 mm. A sacrificial limestone concrete layer of 50 mm thickness on structural concrete is recommended for sodium handling areas, for half an hour sodium exposure.

Coccidiosis is an old parasitic disease, prevalent all over the country and has a significant impact on poultry production. In this paper, economic loss to poultry industry has been estimated considering the major economic parameters. The estimation has revealed that commercial broiler industry is a major sufferer due to coccidiosis wherein 95.61 per cent of the total economic loss occurs due to the disease. The commercial layer industry shares 3.53 per cent economic loss, mainly due to cost of chemoprophylaxis and reduced egg production. A comparison across economic traits has revealed that loss is maximum due to reduced body weight gain, followed by increased FCR (23.74%) and chemoprophylaxis (2.83%) in the total loss due to coccidiosis in broiler industry of India. The overall comparison of economic traits for all the types of poultry sector it has shown that reduced body wt gain and increased FCR are the major parameters from which 68.08 per cent and 22.70 per cent annual loss has occurred in the total loss from coccidiosis in India during the year 2003-04. The total loss due to coccidiosis has been found to be of Rs 1.14 billion (approx) for the year 2003-04. The study has observed that generation of this data across different geographical regions will be helpful to conclude about the global economic loss due to coccidiosis in the poultry industry.

"The state of Assam in northeastern India has an excellent sub-tropical climate for the development of fresh water fish culture in a variety of aquatic bodies. Aquaculture not only plays an important role in nutrition but also in the rural economy of the State. A pilot project conducted with a group of resource poor tribal farmers revealed that a production of about 1 800 kg/ha/yr could be achieved from small seasonal homestead ponds through integrated use of locally available biological resources. This implies an excellent opportunity for improving the rural economy through the development of small-scale fish culture enterprises. In this project, a greater emphasis was placed on improving the knowledge and skills of the farmers and their farming practices so that in the future they would be in a position to expand their activities with financial assistance made available locally. Aquaculture being a new activity in the area, this pilot project was only a start in acquainting the farmers with the practice and potential of aquaculture."

In recent years, Online Social Networks (OSNs) have radically changed the way people communicate. The most widely used platforms, such as Facebook, Youtube, and Instagram, claim more than one billion monthly active users each. Beyond these, news-oriented micro-blogging services, e.g., Twitter, are daily accessed by more than 120 million users sharing contents from all over the world. Unfortunately, legitimate users of the OSNs are mixed with malicious ones, which are interested in spreading unwanted, misleading, harmful, or discriminatory content. Spam detection in OSNs is generally approached by considering the characteristics of the account under analysis, its connection with the rest of the network, as well as data and metadata representing the content shared. However, obtaining all this information can be computationally expensive, or even unfeasible, on massive networks. Driven by these motivations, in this paper we propose SpADe, a multi-stage Spam Account Detection algorithm with reject option, whose purpose is to exploit less costly features at the early stages, while progressively extracting more complex information only for those accounts that are difficult to classify. Experimental evaluation shows the effectiveness of the proposed algorithm compared to single-stage approaches, which are much more complex in terms of features processing and classification time.