IMPACT ASSESSMENT OF SUBSTANTIVE HYDRO-CLIMATIC VARIABLES ON 2012 FLOOD EXTENT IN YOLA AND ENVIRONS

Flood is a seasonal phenomenon which is natural in it hazardous implication and occurs when there is relative high flow over the banks of the streams as a combine consequence of  high recorded data of hydro-climatic related variables in a given geographical area.  Yola North LGA, of Adamawa state had experienced an unprecedented flood in the year 2012 over the past decade which might have been influenced by some hydro-climatic variables and caused devastating effects on lives, properties, farmland and buildings respectively. This study focused on the impact assessment of substantive hydro-climatic variables on 2012 flood event in Yola -North and its environs. The hydro-climatic variables data were obtained from Meteorological station at UBRBDA, Yola for a decade. The amount of rainfall experienced was found to be highest (1085.2mm) in the year 2012 than any other year under consideration (2008-2017) except that of 2016, number of rainy days was highest (81 days) in the year 2012. Similarly, in the month of August in the year 2012 evaporation rate was lowest with about 69 mm than any other month of August in the decade, the annual value of water discharge was highest in the year 2012 over the decade with about 6,340(m3/s), the gauge height was found to be highest with about 7.33 m in the year 2012 and the water level was highest in the month of June, July and September  with the corresponding values of 3.37 m, 3.49 m and 6.58 m compared to similar months in the years of the decade respectively. These increased changes in some hydro-climatic data analyzed might be the fundamental natural factor that causes the unique flooding than any other factor in the year 2012 in the study area and over time posed negative impact on agricultural lands.  Therefore, the study recommends the urgent need to carry out a comprehensive seasonal hydro-climatic data record simulation analysis and variations with a view of taking them as a recipe and strategies of forecasting and predicting the reoccurrence of such phenomenon. The additional meteorological station should be provided by the government agencies in all agricultural zones of the state for adequate and wide range of hydro-climatic data recording for appropriate prediction of weather indices in future.     &nbsp

Social Studies in Other Nations: A Focus on Nigerian Social Studies/Global Education

This paper discusses the role of the role of social studies education in Nigeria. Amidst problems of mass education, funding, inequities, intolerance, corruption, weak governance, access to quality education, curriculum development, effective instructional methods, research, and teacher education, Nigeria embarks upon a democratic path to national unity and peace

Top Habits of Highly Connected People: Ways to Engage At-Risk Youth NOW!

Sometimes the most powerful changes we can make are the most simple. In this powerful session, learn techniques, strategies and new ideas to help you relate better to our at-risk youth, to achieve better results! Primarily addressing Head and Heart, these are the two most critical strands

Enhancement performance of random forest algorithm via one hot encoding for IoT IDS

The random forest algorithm is one of important supervised machine learning (ML) algorithms. In the present paper, the accuracy of the results of the random forest (RF) algorithm has been improved by the use of the One Hot Encoding method. The Intrusion Detection System (IDS) can be defined as a system that can predict security vulnerabilities within network traffic and is located out of range on a network infrastructure. It does not affect the efficiency of the built-in network because it analyzes a copy of the built-in traffic flow and reports results to the administrator by giving alerts. However, since IDS is a listening system only, it cannot take automatic action to prevent an attack or security vulnerability detected from infecting the system, it provides information about the source address to start the break-in, the address of the target and the type of suspected attack. The IoTID20 dataset is used to verify the improved algorithm, where this dataset is having three targets, the proposed system is compared with the state-of-art approaches and shows superiority over them

PHARMACOLOGICAL ACTIVITY OF ULVA LACTUCA POLYPHENOLS FRACTION: HEPATOPROTECTIVE AND ANTIOXIDANT ACTIVITIES AGAINST PARACETAMOL-INDUCED LIVER DAMAGE IN RATS

Objective: The objective of this study was to assess the activity Ulva lactuca polyphenols fraction in protecting the liver damage induced by high dose of paracetamol. Methods: This study was performed using Wistar albino rats divided into six groups. Group 1 was the normal group. Groups 2, 3, 4, 5, and 6 received paracetamol (2 g/kg) for 7 days. In addition to paracetamol, Groups 3, 4, 5, and 6 received silymarin (100 mg/kg), U. lactuca polyphenols fraction at the doses of 50, 100, and 200 mg/kg, respectively, for 7 days. On the 8th day, serum and liver samples were collected from the animals and the hepatoprotective and antioxidant activities were assessed by studying the levels of liver marker enzymes, bilirubin, protein, reduced glutathione, and antioxidant enzymes. Results: U. lactuca polyphenols fraction, at the tested doses, restored the levels of all serum markers and enzymes (aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, lactate dehydrogenase, γ-glutamyl transferase, total bilirubin, total protein, cholesterol, triglycerides, and reduced glutathione) and liver homogenate markers (reduced glutathione, superoxide dismutase, catalase, and glutathione peroxidase) significantly, in dose-dependent manner. Conclusion: This study suggests that U. lactuca polyphenols fraction has a hepatoprotective effect against paracetamol-induced liver damage and possesses antioxidant activities