Measuring Public Participation in International Investment Treaty Law : A Study of the Latin American Extractive Industries

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Klebsiella pneumoniae isolated from birds affected by natural outbreaks of highly pathogenic avian influenza (H5N1) in Nigeria

A study was undertaken to examine the isolation rate of Klebsiella pneumoniae from birds affected by natural outbreaks of highly pathogenic avian influenza (H5N1) that occurred in Nigeria between December, 2006 and July, 2007. A total of 100 birds from 114 commercial, backyard and free range flocks infected with H5N1 virus within the study period were sampled. A total of 600 tissues (heart, lung, spleen, liver, trachea and intestine), 100 each from the 100 birds were collected for bacteriology. Data generated was entered into Microsoft excel, while descriptive statistical analysis was conducted using SPSS (Version 12.01). Klebsiella pneumoniae was isolated from 9 (1.5%) samples. The organism was isolated from the liver, lungs and trachea of commercial layers and turkeys. During the HPAI outbreaks, Klebsiella pneumoniae was isolated from 9 different flocks with a total of 21,805 birds, mortality rate of (7.3%) and proportionate mortality rate of (2.5%). The bacterium was not isolated from H5N1 free flocks which served as control. The result of this study indicated that Klebsiella pneumoniae may have acted as a secondary pathogen to aggravate the clinical signs during H5N1 outbreaks that occurred in Nigeria

Impact Analysis of Violent Conflict and Enabling Business Environment on Entrepreneurial Performance in North East Zone of Nigeria

The issues of countless loss of lives, properties and closing down of business operations as a result of violent conflict in Nigeria despite enabling business environment and efforts of the Nigerian Government towards entrepreneurship development necessitates this study. The study investigates the impact of violent conflict and enabling business environment on the entrepreneurship performance in Nigeria with a particular reference to North East Zone of Nigeria.  The paper adopts a survey research method in order to enhance empirical investigation. Random sampling was used to select 705 entrepreneurs in six (6) states across the North-East Zone. The structural questionnaire was used to obtain primary data while pair test was used to analyze the data. The calculated t-test value for annual sales volume and annual profit volume during violent conflict period and during violent conflict-free period with enabling business environment indicates high significant impact of enabling business environment without violence on good entrepreneurial performance. Thus, it was found that violent conflict leads to low business performance, unnecessary closing down of businesses, and reduction in number of employees, unemployment and high level of poverty among entrepreneurs in the zone. In order to maintain peace and improve entrepreneurship performance, the study recommends, among others, that political thugs in the society should be identified, call to order, given proper orientation and reformation towards gaining employment opportunities. Also, people should learn to forgive and forget past injustices in order to avoid reprisals while maintaining adequate enabling business environment

Examining Big Data in Medicine: Applications, Challenges and Benefits

Advances in technology have created and will continue to create changes in medical science and practice. In recent years, the medical community has seen massive amount of information, which is collectively known as “big data.” Literatures from various sources were reviewed to explore the application of data analytics in medicine, the benefits and challenges associated with its use.With recent advances in digital technology, the ability to gather and examine big data has become far cheaper and faster. With the promise of data-driven knowledge and intelligent decision-making, big-data projects are going on in every branch of medicine. However, the process of engaging stakeholders to benefits fromthe information provided by big data remain a major issue. This paper presents how big data and big data analytics are used in medicine

Salmonella Gallinarum Infection in Poultry Affected by Highly Pathogenic Avian Influenza Virus H5N1 in Nigeria

Highly pathogenic avian influenza (HPAI) is a viral disease affecting almost all domestic and wild birds (Easterday et al., 1997; Alexander, 1999). The species of animals affected by avian influenza include birds, seal,whales, humans, horses and swine (Websters et al., 1992). Avian influenza virus belongs to the Family Orthomyxoviridae which include the genera influenza A, B and C. Avian influenza virus codes for 10 proteinsincluding haemagglutinin (H), neuraminidase (N), protein matrix, RNP among others (Alexander, 1999; Swayne, 2003). There are 16 H and 9 N subtypes (Fouchier et al., 2005). Avian influenza depresses thehost immune system thereby paving ways for opportunistic microbes to invade and exert an exacerbative effect resulting in high mortality in affected flocks (Aleksandr et al., 2004). Salmonella gallinarum isa Gram negative rod, non lactose fermenting organism of the Family Enterobacteriaceae. It is the etiologic agent of fowl typhoid which causes a serious threat to poultry industry particularly in tropical Latin America and many parts of Africa (Hall, 1977). The disease affects a variety of birds such as ducks, pheasants, quails, chickens, guinea fowls, turkeys and ostriches and it is a common problem in Nigeria (Oboegbulem et al., 1980). This study was aimed at isolating Salmonella gallinarum as well ashighlighting the possible complicating role of the organism in natural outbreaks of HPAI (H5N1) that occurred in Nigeria

Factor Analysis of Poultry Birds De-Feathering Machines

Some concerns had been expressed over the success rate of the De-feathering machine (DM) in Nigeria. Therefore, it is imperative to evaluate DM in selected poultry farms in Ekiti State, Nigeria, and consider the factors that inhibit their viability. This study seeks to verify the success rate and identify factors that pose challenges to DM and provide a solution to their intercorrelations. Kendall Coefficient of Concordance (KCC) and Principal Component Analysis (PCA) was the design framework used to investigate the identified factors that influence DM. The KCC was used to analyse the data matrix generated by 12 Judges who ranked the twenty-eight identified factors that influenced DM in ascending order, upon which basis an index of concordance in ranking among the judges was computed as w = 0.70. PCA was used to further analysed questionnaires crafted with the twenty-eight well-ordered factors, purposively selected, using statistisXL version 2021.2 software. Also, the result obtained by PCA indicates that factor reduction was achieved from twenty-eight variables to seven clusters using a scree plot graph.  Furthermore, Cost of Material cluster 5 (consisting of dual factors; ‘stainless steel’ and ‘material selection’) wielded the highest factors loading of 0.847 and 0.779 respectively. This study has helped to justify unsatisfactory DM operating costs among poultry farmers in Nigeria and [email protected] clarify challenges associated with the high cost of material selection in DM design

Fungal Contamination of Some Poultry Houses in Kaduna State, Nigeria

The study was conducted to assess the level of fungal contamination of poultry houses with emphasis on Aspergillus species contamination of litter, feeders, drinkers and the housing materials. Ten swabs each from ten locations and materials (100) of the 10 poultry houses were collected for fungal isolation. A total of 126 fungi belonging to 5 genera were isolated from the different parts of the poultry environment viz; Aspergillus, Mucor, Candida, Rhizopusand Penecillium species with Aspergillus and Candida species having the highest frequency of isolation, 69 (54.76%) and 27 (20.93%) respectively. Three species of Aspergillus were isolated A. fumigatus (22), A. flavus (22) and A. niger (18). Fungi were isolated from all parts of the poultry sampled with a higher rate of isolation from the doors, window nets, roof and feeders. The presence of Aspergillus and Candida species which are important poultry pathogens i.e causing Aspergillosis, mycotoxicosis and Candidaisis indicates an economic threat the farmers as well as to the health of the bird

Effect of Al and Mg Doping on Optical Properties of ZnO Thin Films Prepared by Spin Coating

This paper investigated the influence of aluminum and magnesium doping on the optical and electrical properties of zinc oxide (ZnO) thin films for solar cell application. zinc acetate dehydrates was used as starting material. Aluminum chloride and tin chloride were added to each solution to serve as dopants. X-ray diffractions were analyzed by X-ray diffraction (XRD) which revealed crystalline and hexagonal wurtzite structure. All the films showed more than 80% transparency in the visible region. The optical band gap of undoped znO thin film was found to be 3.12ev while that of Al-doped and Mg-doped znO film was estimated to be 3.16eV and 3.26eV respectively. The resistivity of the films measured were 2.51×10–4Ω cm for Al-doped, 2.53×10–4Ω cm for mg-doped and 2.61×10-4Ω cm for undoped znO respectively. The quality of the films deposited in this work is a promising window layer component of a solar cell. The variation in the band gap observed in this work could be explained by Burstein–Moss effect which was fully explained in the discussion section of this work

MONTE CARLO SIMULATIONS FOR UNCERTAINTY QUANTIFICATION: MATHEMATICAL FOUNDATION AND IMPLICATION OF UNDERLYING ASSUMPTIONS

Many problems in petroleum engineering involve solving multivariable complex integrals and analytic calculation is rarely possible in most practical cases. Numerical approximation appears to be practicable. However, majority of existing numerical solution of a D–dimensional integral with a relative accuracy (ϵ) requires a computation time proportional to ϵ-D. Hence, the use of Ordinary Monte Carlo simulation (OMCS) in uncertainty quantification has gained tremendous attention. In reality, when historical data is available, variables are not independent and identically distributed (iid). The direct sampling of variable under this condition is not expected to be easy and use of OMCS can be erroneous. Methods based on Markov Chains will offer reasonable solution to this problem. This study evaluates simulation methods for quantifying uncertainty in reservoir forecast. The implications of underlying mathematics and assumptions that characterizes them were covered. The p5-p10–p50–p90-p95 uncertainty envelopes from different methods were presented using a case study from Niger Delta. The result is useful for identification and selection of effective tools in uncertainty quantification in the oil industry

Effects of Albizia saman (Jacq. Mull) leaf mulch on vegetative growth of maize (Zea mays L.) and soil chemical properties through biomass transfer

The study presents the effects of Albizia saman (Jacq. Mull) leaves in a biomass transfer as a source of organic fertilizer on the soil chemical properties and vegetative growth of maize (Zea mays) compared with NPK (15-15-15) in greenhouse condition. Albizia saman leaves and NPK (15-15-15) were applied at the rate of 2.5, 5.0 and 7.5 t/ha or 60, 90 and 120 kg/ha respectively, separately or in combination. The findings revealed that application of 2.5 t/ha A. saman leaves produced the maximum values for mean leaf number, leaf area and stem height (7.77, 212.24 cm2 and 49.67 cm, respectively) among the leaf much treatments but were not significantly different from those obtained by applying 90 kg/ha NPK fertilizer (7.86, 225.55 cm2 and 48.78 cm, respectively). However, the maximum number of leaf (8.4), leaf area (240.5 cm2), plant height (54.64 cm) and biomass (16.17 g) were obtained from the combination of 2.5 t/ha leaves with 90 kg/ha NPK. There was significant improvement in the soil chemical status with the application of 2.5 or 5.0 t/ha A. saman leaves whereas the application of 5.0 t/ha A. saman leaves experienced the highest value for organic carbon (3.56%), total nitrogen (0.23%) and potassium (0.16 mg/kg) and 2.5 t/ha leaves gave the highest value for available phosphorus (22.30 mg/kg). It can, therefore, be inferred that the application of 2.5 t/ha A. saman leaves as source of organic fertilizer will give a better growth of maize and the combination of this quantity with 90 kg/ha of NPK would give better results in crop yield and maintenance of soil fertility