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Search Results: 1 - 10 of 149739 matches for " Hassana H.; "
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Observational Bias during Nutrition Surveillance: Results of a Mixed Longitudinal and Cross-Sectional Data Collection System in Northern Nigeria
Emmanuel Grellety, Francisco J. Luquero, Christopher Mambula, Hassana H. Adamu, Greg Elder, Klaudia Porten
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0062767
Abstract: Background The Sahel is subject to seasonal hungry periods with increasing rates of malnutrition. In Northern Nigeria, there is no surveillance system and surveys are rare. The objectives were to analyse possible observational bias in a sentinel surveillance system using repeated mixed longitudinal/cross-sectional data and estimate the extent of seasonal variation. Methods Thirty clusters were randomly selected using probability proportional to size (PPS) sampling from Kazaure Local Government Area, Jigawa State. In each cluster, all the children aged 6–59 months within 20 randomly selected households had their mid-upper arm circumference measured and were tested for oedema. The surveys were repeated every 2 or 4 weeks. At each survey round, three of the clusters were randomly selected to be replaced by three new clusters chosen at random by PPS. The seasonal variation of acute malnutrition was assessed using cyclical regression. The effect of repeated visits to the same cluster was examined using general linear mixed effects models adjusted for the seasonal change. Results There was a significant seasonal fluctuation of Global Acute Malnutrition (GAM) with a peak in October. With each repeat survey of a cluster, the prevalence of GAM decreased by 1.6% (95% CI: 0.4 to 2.7; p = 0.012) relative to the prevalence observed during the previous visit after adjusting for seasonal change. Conclusions Northern Nigeria has a seasonal variation in the prevalence of acute malnutrition. Repeated surveys in the same cluster-village, even if different children are selected, lead to a progressive improvement of the nutritional status of that village. Sentinel site surveillance of nutritional status is prone to observational bias, with the sentinel site progressively deviating from that of the community it is presumed to represent.
Identificación de los sitios de cría de Anopheles sp. durante parte de la estación seca en el estado de Jigawa, Nigeria
Marquetti,María del Carmen; Rojas,Lázara; Mohd Birniwa,Muktar; Sulaiman,Haruna U.; Adamu,Hassana H.;
Revista Cubana de Medicina Tropical , 2007,
Abstract: a study was conducted in the state of jigawa, republic of nigeria, from november to december in the dry season, where malaria is one of the main morbidity and mortality causes particularly in under 5 years-old children and pregnant women. this state had two climate seasons: dry from october to may and rainy from june to september. a total of 112 water bodies were sampled and just 18 in nine local governments were positive to mosquitoes. breeding sites for anopheles were rice fields, small holes in land, animal footsteps, small ponds, flooded pasture fields and water treatment dam, among others, to amount to 10 sites. contrary to what has always been reported about the presence of anopheles in clean waters, they were also breeding in highly polluted waters containing human faeces and garbage and located in open sewers. key words: breeding sites, anopheles, malaria, nigeria.
Intellectual Capital: An Exploratory Study from Lebanon  [PDF]
Hussin J. Hejase, Ale J. Hejase, Hassana Tabsh, Hassan C. Chalak
Open Journal of Business and Management (OJBM) , 2016, DOI: 10.4236/ojbm.2016.44061
Abstract: Organizations are spending quality time to build their Intellectual Capital by attracting people with talent; a caliber that has become a valuable asset in the business world, especially since talented people are difficult to find. Intellectual Capital is the knowledge that individuals put into advantage in their respective companies; as such, it is an organizational competitive advantage and helps in value creation. The Human Resources Department creates value for these organizations by coming up with effective humanresource related solutions and creative ideas for dealing with and retaining people who have the right talent. To achieve the aforementioned, employees’ qualifications have to be evaluated in terms of knowledge, skills, education, in addition to future potentials and ability to cope with change. Consequently, organizations have become interested in developing their human capital by developing their employees’ knowledge, applied experience, enterprise process, customer relationships, and professional skills. This paper discusses “Intellectual Capital” as a modern HR concept that has influenced business processes and plans. It aims at exploring and assessing the extent of awareness of such concept, current challenges it faces, its future, and also the different views and thoughts regarding it. In addition, the research focuses on how to exploit and retain Intellectual Capital and identifies the financial and non-financial organizational benefits gained by employees. The research is exploratory and explanatory, quantitative in nature using a survey questionnaire responded by 258 Lebanese employees and managers working in different business sectors. Collected data are evaluated statistically through computer software SPSS-22. Findings are used to support existing managerial practices and policies for better retention practices and management of Lebanese human resources.
Risk Factors and Diabetes Related Complications Frequency in the Population of the Northeastern Morocco  [PDF]
Jamila Hammoudi, Hassana Dahmani, Nourel Houda Bouanani, Hamid Nouayti, Hassane Mekhfi, Abdelkhaleq Legssyer, Mohamed Bnouham, Abderrahim Ziyyat
Open Journal of Epidemiology (OJEpi) , 2018, DOI: 10.4236/ojepi.2018.83014
Abstract: Objectives: Diabetes is one of the most challenging health problems in the 21st century that brings a considerable economic burden on worldwide healthcare resources. Indeed, people with diabetes have a higher lifetime healthcare expenditure due to the long-term complications, which include micro and macrovascular complications. This study sought to estimate the frequency of diabetes complications, and to investigate the associated risk factors. Methodology: Data were obtained from the medical records of 2401 diabetic patients followed at the Reference Center of Diabetes and Chronic Diseases (RCD) in Oujda (Morocco) during the period 2006-2011. Results: Our sample of 2401 diabetic patients include 64.7% women. 32% of patients have one or more complications; retinopathy is the most frequent complication (16.8%), followed by nephropathy (12.4%), cardiovascular diseases (5.4%), neuropathy (3.6%) and diabetes foot (2%). Logistic regression in univariate followed by multivariate analysis has showed that age, duration of diabetes and high albuminuria are the major risk factors for the development of diabetic complications in both type 1 and type 2 diabetes. Conclusions: Nearly one third of diabetic patients were affected by at least one diabetic complication; retinopathy is the most common complication in these patients. Strengthening programs to improve diabetes management and to reduce the risk of these complications should be a high priority in order to control the cost of treatment.
Appraisal of Rural Water Supply: Case Study of Kwara State, North Central Nigeria
Peter Aderemi Adeoye,Adesiji Richard Adeolu,Hassana Mustapha Ibrahim
International Journal of Basics and Applied Science , 2013,
Abstract: Provision of clean domestic water for both rural and urban dwellers should be seen as a necessity by policy makers. However, this is not so for developing nations where rural dwellers are neglected whenever water supply schemes are been contemplated. This paper assessed rural water supply system in Kwara State, North Central Nigeria. Questionnaires were administered to respondents in the area under investigation for quantitative evaluation while samples were taken from their prevailing water sources for physico-chemical analysis. The result of the study showed that these rural dwellers are still not benefiting from rural water supply schemes whether from Government or Non-Governmental Organisations. More than 90% of them still depend on contaminated streams, rivers and unlined, unprotected shallow wells for their water needs. Only about 31.1% subject the water to some forms of treatment before use. From qualitative analysis, more than 70% of the samples analysed has physico-chemical and bacteriological parameter values higher than WHO and Nigerian Standard for Drinking Water Quality Standards. There is an urgent need for provision of potable water within the reach of these people to prevent outbreak of more water related problems.
Ambipolar diffusion of photo-excited carriers in bulk GaAs
Brian A. Ruzicka,Lalani K. Werake,Hassana Samassekou,Hui Zhao
Physics , 2011, DOI: 10.1063/1.3533664
Abstract: The ambipolar carrier diffusion in bulk GaAs is studied by using an ultrafast pump-probe technique with a high spatial resolution. Carriers with a point-like spatial profile are excited by a tightly focused pump laser pulse. The spatiotemporal dynamics of the carriers are monitored by a time-delayed and spatially scanned probe pulse. Ambipolar diffusion coefficients are deduced from linear fits to the expansion of the area of the profiles, and are found to decrease from about 170~$\mathrm{cm}^2 \mathrm{s}^{-1}$ at 10 K to about 20~$\mathrm{cm}^2 \mathrm{s}^{-1}$ at room temperature. Our results are consistent with those deduced from the previously measured mobilities.
Sequencing the Connectome
Anthony M. Zador,Joshua Dubnau,Hassana K. Oyibo,Huiqing Zhan,Gang Cao,Ian D. Peikon
PLOS Biology , 2012, DOI: 10.1371/journal.pbio.1001411
Abstract: Connectivity determines the function of neural circuits. Historically, circuit mapping has usually been viewed as a problem of microscopy, but no current method can achieve high-throughput mapping of entire circuits with single neuron precision. Here we describe a novel approach to determining connectivity. We propose BOINC (“barcoding of individual neuronal connections”), a method for converting the problem of connectivity into a form that can be read out by high-throughput DNA sequencing. The appeal of using sequencing is that its scale—sequencing billions of nucleotides per day is now routine—is a natural match to the complexity of neural circuits. An inexpensive high-throughput technique for establishing circuit connectivity at single neuron resolution could transform neuroscience research.
Sequencing the Connectome
Anthony M. Zador ,Joshua Dubnau,Hassana K. Oyibo,Huiqing Zhan,Gang Cao,Ian D. Peikon
PLOS Biology , 2012, DOI: 10.1371/journal.pbio.1001411
Abstract: Connectivity determines the function of neural circuits. Historically, circuit mapping has usually been viewed as a problem of microscopy, but no current method can achieve high-throughput mapping of entire circuits with single neuron precision. Here we describe a novel approach to determining connectivity. We propose BOINC (“barcoding of individual neuronal connections”), a method for converting the problem of connectivity into a form that can be read out by high-throughput DNA sequencing. The appeal of using sequencing is that its scale—sequencing billions of nucleotides per day is now routine—is a natural match to the complexity of neural circuits. An inexpensive high-throughput technique for establishing circuit connectivity at single neuron resolution could transform neuroscience research.
Complete Human Mitochondrial Genome Construction Using L-systems
Sk. Sarif Hassana,Pabitra Pal Choudhury,Amita Pal,R. L. Brahmachary,Arunava Goswami
Quantitative Biology , 2010,
Abstract: Recently, scientists from The Craig J. Venter Institute reported construction of very long DNA molecules using a variety of experimental procedures adopting a number of working hypotheses. Finding a mathematical rule for generation of such a long sequence would revolutionize our thinking on various advanced areas of biology, viz. evolution of long DNA chains in chromosomes, reasons for existence of long stretches of non-coding regions as well as would usher automated methods for long DNA chains preparation for chromosome engineering. However, this mathematical principle must have room for editing / correcting DNA sequences locally in those areas of genomes where mutation and / or DNA polymerase has introduced errors over millions of years. In this paper, we report the basics and applications of L-system (a mathematical principle) which could answer all the aforesaid issues. At the end, we present the whole human mitochondrial genome which has been generated using this mathematical principle using PC computation power. We can claim now that we can make any stretch of DNA, be it 936 bp of olfactory receptor, with or without introns, mitochondrial DNA to 3 x 109 bp DNA sequences of the whole human genome with even a PC computation power.
CXCL10 Gene Promoter Polymorphism -1447A>G Correlates with Plasma CXCL10 Levels and is Associated with Male Susceptibility to Cerebral Malaria
Nana Wilson, Adel Driss, Wesley Solomon, Carmen Dickinson-Copeland, Hassana Salifu, Vidhan Jain, Neeru Singh, Jonathan Stiles
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0081329
Abstract: The risk factors for cerebral malaria (CM) and the wide variation in clinical manifestations of malaria are poorly understood. Recent studies indicate that interferon gamma inducible chemokine, CXCL10, is a strong predictor of both human and experimental cerebral malaria. Increased plasma and cerebrospinal fluid levels of CXCL10 were tightly associated with fatal CM in Indian and Ghanaian patients. In the present study, we hypothesized that in a subset of malaria patients, CM susceptibility is associated with variation in CXCL10 expression. We determined whether polymorphisms in the CXCL10 gene promoter region played a role in the clinical status of malaria patients and addressed the genetic basis of CXCL10 expression during malaria infection. Following extensive bioinformatics analyses, two reported single nucleotide polymorphisms in the CXCL10 promoter (?135G>A [rs56061981] and ?1447A>G [rs4508917]) were identified among 66 CM and 69 non-CM Indian patients using PCR-restriction fragment length polymorphism assay. Individuals with the ?1447(A/G) genotype were susceptible to CM (adjusted odds ratio [AOR] = 2.60, 95% CI = 1.51–5.85, p = 0.021). In addition, individuals with the ?1447(A/G) genotype had significantly higher plasma CXCL10 levels than individuals with the ?1447(A/A) genotype. Stratifying patients according to gender, the observed association of CM with over expression of CXCL10 were more pronounced in males than in female patients (AOR = 5.47, 95% CI = 1.34–22.29, p = 0.018). Furthermore, ?135G>A polymorphism conferred a decreased risk of CM among males (AOR = 0.19, 95% CI = 0.05–0.78, p = 0.021). Polymorphisms in the CXCL10 gene promoter sequence were associated with increased CXCL10 production, which is linked to severity of CM. These results suggest that the ?1447A>G polymorphism in CXCL10 gene promoter could be partly responsible for the reported variation underlying severity of CM outcomes particularly in males.
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