Comparison of Garden Soil with Nitrogen and Potassium for Growing Lettuce (Lactuca sativa L.) in Glass House.

The experiment was conducted during the year 2019-20 by Vegetable Section, Agriculture Research Station (ARS) Baffa Mansehra to compare garden soil with nitrogen (Urea) and potassium (Murate of Potash) for lettuce production in glass house. Lettuce is an important summer off-season and high valued crop cultivated at District Mansehra in the months of July-August. The produce is transported to other metropolises with handsome earning,  but excessive use of minerals and synthetic fertilizers may render the produce less profitable in one or another way. Hence this experiment was designed to compare garden soil with  nitrogen and potassium doses.  It is evident from the statistical analysis that garden soil has a significant effect on  number of leaves, leaf area, seed per plant, yield per plant and yield per acre. Seed production is noticeable for garden soil when the prevailing temperature during seed formation was 250C.  In terms of leaf area maximum leaf area 576.10 cm2was recorded for garden soil while minimum leaf area 303.43 cm2 was recorded with nitrogen applied @ 200 kg ha-1 and potassium applied @ 100 kg ha-1 respectively. Maximum number of leaves 28.03 was recorded for garden soil while the minimum number 21.96 was recorded for nitrogen applied @ 200 kg ha-1 and potassium applied @ 100 kg ha-1. Seed formation was successful with mean temperature 250C in glass house for 30 days, here again garden soil surpassed nitrogen and potassium with 4.03gm plant-1. Yield per plot 3.69 kg was recorded for garden soil and the minimum value 1.1843 kg was recorded for nitrogen and potassium applied @ 200 kg ha-1 nitrogen while potassium applied @ 100 kg ha-1. Garden soil gives maximum yield of 13600 kg acre-1 compared with the lowest production 6070.5 kg acre-1 of nitrogen and potassium applied @ 200 kg ha-1 nitrogen while potassium applied @ 150 kg ha-1.  Keywords:, Lettuce, garden soil, leaf area, seed production, glass house DOI: 10.7176/CEIS/14-2-06 Publication date:May 31st 202

Effect of different timing of withering on polyphenols and caffeine contents of black tea camellia sinensis L.

A study was conducted on the effect of withering time viz. 0 (fresh), 21, 22, 23, and 24 hours on moisture, polyphenol and caffeine content of tea sample collected from National Tea and High Value Crops Research Institute (NTHRI), Shinkiari, Mansehra during the months of July and August during 2013-14. Maximum average moisture contents (77.30% and 74.82%) were observed in the fresh tea leaves plucked during July and August, respectively, whereas, made tea showed the moisture contents in the range of 3 to 3.25%. Maximum polyphenol contents were observed in fresh tea leaves (19.8 % and 20.2%) during the month of July and August, however after processing, the highest polyphenol contents were observed in both months (11.41% in July and 11.4% in August) at 24 hours interval. The highest amount of theaflavin was obtained in both months July and August (1.21% and (1.23%) at 24hr interval. Maximum caffeine content (3.62% and 3.45%) in the samples collected during July and August, respectively were observed in 24 hours interval and minimum caffeine content (2.04% and 2.34%) in the 21 hours interval withered samples collected during the month of July

AndroDialysis: Analysis of Android Intent Effectiveness in Malware Detection

© 2016 Elsevier Ltd The wide popularity of Android systems has been accompanied by increase in the number of malware targeting these systems. This is largely due to the open nature of the Android framework that facilitates the incorporation of third-party applications running on top of any Android device. Inter-process communication is one of the most notable features of the Android framework as it allows the reuse of components across process boundaries. This mechanism is used as gateway to access different sensitive services in the Android framework. In the Android platform, this communication system is usually driven by a late runtime binding messaging object known as Intent. In this paper, we evaluate the effectiveness of Android Intents (explicit and implicit) as a distinguishing feature for identifying malicious applications. We show that Intents are semantically rich features that are able to encode the intentions of malware when compared to other well-studied features such as permissions. We also argue that this type of feature is not the ultimate solution. It should be used in conjunction with other known features. We conducted experiments using a dataset containing 7406 applications that comprise 1846 clean and 5560 infected applications. The results show detection rate of 91% using Android Intent against 83% using Android permission. Additionally, experiment on combination of both features results in detection rate of 95.5%

Impact of Potassium on the Growth and Yield Contributing Attributes of Onion (Allium cepa L.)

The field experiment was conducted to study the effect of different levels of potassium on growth and yield of onion at Agricultural Research Station Baffa, Mansehra, Khyber Pakhtunkhwa, during the year 2016- 2017. Four levels of potassium i.e. 0, 60, 120 and 180 kg ha-1 were used as treatments in the experiment. It was observed that there was significant increase in growth and yield of onion in response to different levels of potassium. The results indicated that maximum average bulb weight (78.44 g), maximum bulb diameter (5.20 cm), and maximum yield (24.67 t ha-1) was noted in plots applied with potassium at the rate of 120 kg ha-1. The lowest onion yield (10.40 tons ha-1) was obtained with control. It may be concluded that the highest dose of potassium application for the soil medium of Agricultural Research Station Baffa, Mansehra is empirical proved 120 kg   ha-1 which has significant effects on bulb diameter, bulb weight and yield of onion. Therefore potassium application of 120 kg ha-1 is recommended as the most suitable dose for obtaining maximum yield of onion in Mansehra

Impact of Potassium on the Growth and Yield Contributing Attributes of Onion (Allium cepa L.)

The field experiment was conducted to study the effect of different levels of potassium on growth and yield of onion at Agricultural Research Station Baffa, Mansehra, Khyber Pakhtunkhwa, during the year 2016- 2017. Four levels of potassium i.e. 0, 60, 120 and 180 kg ha-1 were used as treatments in the experiment. It was observed that there was significant increase in growth and yield of onion in response to different levels of potassium. The results indicated that maximum average bulb weight (78.44 g), maximum bulb diameter (5.20 cm), and maximum yield (24.67 t ha-1) was noted in plots applied with potassium at the rate of 120 kg ha-1. The lowest onion yield (10.40 tons ha-1) was obtained with control. It may be concluded that the highest dose of potassium application for the soil medium of Agricultural Research Station Baffa, Mansehra is empirical proved 120 kg   ha-1 which has significant effects on bulb diameter, bulb weight and yield of onion. Therefore potassium application of 120 kg ha-1 is recommended as the most suitable dose for obtaining maximum yield of onion in Mansehra

Diagnostic tools for bacterial infections in travellers: Current and future options

International audienceInternational travel has increased dramatically over the past 50 years, and travel destinations have diversified. Although physicians are more familiar with the panel of aetiological agents responsible for illnesses of returning travellers, thanks to regular epidemiological studies, the spectrum of pathogens potentially encountered in various travel destinations is nevertheless increasing. In addition, the wide array of approaches currently available and addressed in this paper could render the procedures for microbiological analyses increasingly complex. As the time to result is crucial to adequately manage patients, modern approaches have been developed to shorten diagnosis delays. The syndromic approach, which consists of simultaneously testing a wide panel of microorganisms, substantially increases the diagnostic yield with significant time savings, particularly when coupled with point-of-care laboratories. The tools commonly used for this purpose are immunochromatographic tests, mainly targeting bacterial antigens, and multiplex real-time PCR. The emergence of next-generation sequencing technologies, which enable random amplification of genetic material of any microbe present in a clinical specimen, provides further exciting perspectives in the diagnosis of infectious diseases