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Indigenous knowledge in community based early warning systems is essential for drought monitoring and management. In remote areas, modern technologies for early warning are rare thus indigenous knowledge based hazard monitoring systems are commonly used. This promotes a more effective methodology of disaster management in Arid and Semi-Arid Lands (ASALs) of Northern Kenya. Communities living in the northern part of Kenya have a wealth of indigenous knowledge passed down from generations and is internalised by the communities through a process of socialisation as part of their lifestyles. Most of this knowledge is not documented and is overlooked whereas this community based practices exhibit a deep understanding and ability to cope with disasters through local actions. This creates a firm basis for assessing indigenous Knowledge (IK) for early warning for Turkana nation and adaptive strategies therein. Descriptive survey research design was used in the study. A population sample size of 902 persons was chosen using the simple random sampling technique. A study sample size was taken at 95% level of confidence. More emphasis was placed in people over the age of 60 years who were able to recall trends of drought occurrences over the study period. The data collection instruments applied included questionnaires, observation checklists and interview guides. The findings of the study showed that indigenous knowledge was invaluable if accurate and reliable drought prediction was to be achieved, hence the need for adoption of this indigenous method for early warning system. Cooperation among the local people in drought forecast improve ownership of findings hence ability to forge sustainable drought mitigation and prevention efforts. The study recommends that there is an urgent need to recognize indigenous knowledge in planning and decision making in relation to matters of drought prediction.

We study jitter control in networks with guaranteed quality of service (QoS) from the competitive analysis (as mentioned in [1]) point of view. we analyze on-line algorithms for single jitter regulator that control jitter and compare their performance to the best possible by an off-line algorithm as proposed in [1]. For delay jitter, where the goal is to minimize the difference between delay times of different packets, we show that a simple on-line algorithm using a buffer of B slots guarantees the same delay jitter as the best off-line algorithm using buffer space B/2. We prove that the guarantees made by our (proposed in [1]) on-line algorithm hold, even for simple distributed implementations, where the total buffer space is distributed along the path of the connection, provided that the input stream satisfies a certain simple property. The significance of the results is that it proves the on-line algorithm to be the best possible algorithm to reduce delay jitter for a given buffer size B. The main argue is even if both the distributed and non distributed algorithms get same jitter which one has more advantage. We focused on the advantages of distributing the buffers. The algorithm in its original form is applicable only to a fixed number of packets. We extend the results to a more practical model in which we compare off-line algorithm with n inputs and on-line algorithms with n1 (>n) inputs.

Summary The forestry regime aims at promoting the rational and sustainable management of resources in order to increase their contribution to the economic, social and cultural development of present generations, while preserving forest ecosystems and forest biodiversity for future generations. It was with this in mind that the legislator promulgated the decree of 4 April 1934, the first legal instrument on forestry adopted by the Belgian Parliament. Two years later, the decree of 13 June 1936 was added to the list and attempted to put all indigenous people on an equal footing with regard to forest access and use rights. After the Second World War, the decree of 11 April 1949 on forests had data of an economic nature that obliged the colonial authorities to adapt the forestry legislation. Over the years, the decree became obsolete, ineffective and unsuited to the political, economic, social and especially the global and sub-regional environment. In the same vein, law n°011/2002 of 29 August 2002 on the forestry code is the basic legislative text that regulates forestry management in the DRC. This law wipes out the existing texts, inherited from the colonial period, in order to meet the new socio-economic objectives that the State has assigned to the management of the forest estate. The results of our investigations in Basoko Territory confirm the marginalisation of local communities. On the one hand, they are not involved in the process because their specifications are very often not followed up. On the other hand, local communities are not involved in the management of industrial exploitation at the decision-making level.

This study aims to predict spatial distribution of deforestation and detects factors influencing forest degradation of Northern forests of Ilam province. For this purpose, effects of six factors including distance from road and settlement areas, forest fragmentation index, elevation, slope and distance from the forest edge on the forest deforestation are studied. In order to evaluate the changes in forest, images related to TM1988, ETM+2001 and ETM+2007 are processed and classified. There are two classes as, forest and non-forest in order to assess deforestation factors. The logistic regression method is used for modeling and estimating the spatial distribution of deforestation. The results show that about 19,294 ha from forest areas are deforested in the 19 years. Modeling results also indicate that more deforestation occurred in the fragmented forest cover and in the areas of proximity to forest/non forest edge. Furthermore, slope and distance from road and settlement areas had negative relationships with deforestation rates. Meanwhile, deforestation rate is decreased with increase in elevation. Finally, a simple spatial model is presented that is able to predict the location of deforestation by using logistic regression. The validation was also tested using ROC approach which was found to be 0.96.

The aim is to show through two clinical cases an anatomical variability of the cystic duct. The first clinical case of a patient admitted for endoscopic treatment of the main bile duct lithiasis while cholangiography had objectively dilated the cystic duct over its entire length, it was very low implanted in pre-papillary with the presence of a lacunar image evoking a vesicular infundibulum lithiasis. The second clinical case of a patient admitted for endoscopic retrograde cholangio pancreatography and extraction of a millimetric lithiasis of the main biliary tract visualized on the biliary Magnetic Reasoning Imaging, whereas retrograde cholangiography objectified: a thin main biliary tract and a cystic duct measuring 4 mm, long and low implanted with a doubt on a lacunar image. The anatomical variability of the cystic duct is not uncommon, therefore detailed knowledge of all these anatomical variations is essential to avoid iatrogenic lesions of the bile ducts.

An ad-hoc network is a collection of mobile nodes, which communicate over radio. These networks have an important advantage; they do not require any existing infrastructure or central administration. Therefore, mobile ad-hoc networks are suitable for temporary communication links. This flexibility, however, comes at a price: communication is difficult to organize due to frequent topology changes. Routing in such networks can be viewed as a distributed optimization problem. A new class of algorithms, inspired by swarm intelligence, is currently being developed that can potentially solve numerous problems of modern communications networks. These algorithms rely on the interaction of a multitude of simultaneously interacting agents. A survey of few such algorithms for ad hoc networks is presented here.

Background of the study: As in a global village and English has been widely used in medical terminology, medical records and in professional communication, it’s quite essential to have good English ability for those people standing in the front line of healthcare, in particular, the nurses. Objective: The present study was aimed to assess the level of anxiety related to English Anxiety among GNM students. Methodology: A descriptive research design was used for the present study. A total of 200 students were selected by using Complete Enumeration sampling technique. A modified tool on Foreign Language Classroom Anxiety Scale (FLCAS) was used to collect data. Results: The results of the present study revealed that most of the students reported moderate English Language Anxiety especially in writing English. Further, both boys and girls had shown moderate English Language Anxiety and the level of anxiety was found to be higher among girls than boys. The level of anxiety in five components (Speaking, Listening, Reading, Writing and Grammar) was same among all the students of 1st Year, level of English Language Anxiety in Listening component was higher among girls than boys studying in 2nd year, level of English Language anxiety in reading as well as grammar component was higher among girls than boys studying in 3rd year and level of English Language anxiety in Listening component was higher among girls and level of English Language Anxiety was higher in writing component among boys studying in GNM Internship. Conclusion: Teachers should have learning activities where these students are given more guidance on how to talk or write about themselves, their family, their interests and their culture. In addition, teachers should also try to create a non-threatening, relaxed learning environment in which students can take risks and make mistakes without fear or embarrassment. In addition, teachers must make a conscious effort to ensure that these students must have the opportunity to participate in class. Key words: Anxiety, English language, FLCAS, English language anxiety.

According to the United Nations, there were approximately 4.854 million international students registered around the world in 2016. While the mentioned figure was equal to 3.961 million in 2011 [1]. Educational migration is an increasing trend, which brings various benefits to the host countries. Georgia began attracting foreign youth representatives as soon as it started experiencing optimistic economic trends. The growing number of foreign students has had a noticeable, positive impact on the economy and thus, has become a subject of discussion in the society. The present article is dedicated to discussing general characteristics of Georgian immigration profile (such as statistics concerning immigrants) and observing details of students' migration to the mentioned state. Additionally, the work examines diverse recommendations that could increase the number of prospective international students in the country. Analyzing some aspects of the youth immigration to Georgia is a safe mean of acknowledging the realities of Georgian educational sector and finding prospects of further development. Due to the importance of the theme, the article discusses some of the relevant recent researches and statistical data that have been published by various international and local, Georgian institutions.

A dynamic graphical display and regression diagnostics is proposed for examining the validating assumption of the error term in a multiple regression modeling. Residual plots were used to detect the regression assumption of homocesdasticity tendency. Independence of the error term was diagnosed through Durbin Watson Test statistic or scatter plots of residuals against time order. Letter value displays were used to detect approximate normality through mid-summaries values. The error term validation were characterized with the residuals following an even distribution of scatter plots along a horizontal line through zero point, high (r2), minimal standard error of estimates for the predictors, the Cp statistic close to P+1 which means a small biased, the P value less than 0.05(level of significant), and lack of bivariate high correlations among the predictors

This work focuses on the management of biomedical waste at the University Hospital Center for Mother and Child - Lagune of Benin wich exhibits deficiencies in compliance with regulations. The study aims to comprehensively assess all stages of solid waste management, including collection, transportation, conditioning, storage, treatment, and final disposal. Weaknesses in waste management are evident, encompassing insufficient trash cans, garbage mixing, incinerator malfunctions, and a lack of training for most hygiene and purification personnel. Furthermore, the study conducted physical and chemical analyses on the wastewater discharged from both the laundry and the wastewater treatment plant (WWTP) into the Cotonou lagoon. Field measurements were taken for physical parameters using a multiparameter measuring device. The suspended solids were determined through filtration, and nitrates and nitrites were quantified using the Nessler and Zambelli methods, respectively. BOD (Biochemical Oxygen Demand) was assessed using a BOD meter, while COD (Chemical Oxygen Demand) was determined through oxidation with potassium dichromate. The analysis results for the laundry's wastewater revealed COD levels of approximately 146 mg/L, BOD5 at 62 mg/L, and suspended solids at 63.74 mg/L. These values, exceeding Benin's standards, raise concerns about the potential impact of discharging these waters into the Cotonou lagoon. It is imperative that these wastewater streams be directed to a treatment station before being released into the lagoon.