275 research outputs found
COMPARISON OF AGRICULTURE WITH OIL ENHANCEMENT: SURVIVING STRATEGY FOR ECONOMIC MELTDOWN IN NIGERIA
This paper compares the place of Agriculture and Oil in repositioning Nigerian economy towards a path of steady economic growth with a view to establishing which strategy (agriculture or oil enhancement) that is appropriate to checkmate the associated pains of ongoing global economic, financial and food crisis in the country. The secondary data used in this study are those relating to the contributions of Agriculture and Oil to Gross Domestic Product (GDP) (Principal variables) while Manufacturing and Service Sectors serve as control variables. These were obtained from Central Bank of Nigeria Annual Reports and Accounts and were analysed using Ordinary Least Square after conducting Augmented Dickey Fuller Unit Roots (ADF), Granger Causality Test as well as Johanson Co-integration Test while Actual Fitted and Residual plot was generated to test the presence of auto or serial correlation in the data. The study reveals that although Oil contributes more to export earnings in Nigeria, it has little contribution to GDP due to its associated vices of communal classes, uneven development, its limited life and crowd out of other sectors of the economy. This is in comparison with Agriculture that has more impact on GDP, generates more employment opportunities, reduces world food crisis and has no identifiable vices. It is recommended that Nigerian economic base should be diversified from oil dependence to agricultural advancement with a view to generating employment opportunities, raising the standard of living and improving economic growth.Â
Glucose Metabolism of Embryos and Endosperms from Deteriorating Barley and Wheat Seeds
A field-grown transgenic tomato line expressing higher levels of polyamines reveals legume cover crop mulch-specific perturbations in fruit phenotype at the levels of metabolite profiles, gene expression, and agronomic characteristics
Genetic modification of crop plants to introduce desirable traits such as nutritional enhancement, disease and pest resistance, and enhanced crop productivity is increasingly seen as a promising technology for sustainable agriculture and boosting food production in the world. Independently, cultural practices that utilize alternative agriculture strategies including organic cultivation subscribe to sustainable agriculture by limiting chemical usage and reduced tillage. How the two together affect fruit metabolism or plant growth in the field or whether they are compatible has not yet been tested. Fruit-specific yeast S-adenosylmethionine decarboxylase (ySAMdc) line 579HO, and a control line 556AZ were grown in leguminous hairy vetch (Vicia villosa Roth) (HV) mulch and conventional black polyethylene (BP) mulch, and their fruit analysed. Significant genotype×mulch-dependent interactions on fruit phenotype were exemplified by differential profiles of 20 fruit metabolites such as amino acids, sugars, and organic acids. Expression patterns of the ySAMdc transgene, and tomato SAMdc, E8, PEPC, and ICDHc genes were compared between the two lines as a function of growth on either BP or HV mulch. HV mulch significantly stimulated the accumulation of asparagine, glutamate, glutamine, choline, and citrate concomitant with a decrease in glucose in the 556AZ fruits during ripening as compared to BP. It enables a metabolic system in tomato somewhat akin to the one in higher polyamine-accumulating transgenic fruit that have higher phytonutrient content. Finally, synergism was found between HV mulch and transgenic tomato in up-regulating N:C indicator genes PEPC and ICDHc in the fruit
SEROPREVALENCE OF ANTI-MANNOSE BINDING LECTIN AUTOANTIBODIES IN PATIENTS WITH RHEUMATOID ARTHRITIS IN SANA'A CITY- YEMEN
Objective: Rheumatoid arthritis (RA) characterized by synovial inflammation and destruction of cartilage and bone. Until now there is no single test that diagnoses RA, however, several blood tests may suggest the presence of this disease. RA is associated with the presence of a number of autoantibodies as such as rheumatoid factor (RF), anti-cyclic citrullinated peptide (ACPA) and anti-mannose binding lectin (anti-MBL). This study aimed firstly to investigate the presence of anti-MBL autoantibodies in the sera of RA patients and healthy controls and secondly to determine the diagnostic value of this marker in comparison with the classical RF, C- reactive protein (CRP) and ACPA among RA cases.
Methods: This case-control study was conducted at four health establishments; two public (Al-Thawra Modern General Hospital and National Center of Central Public Health Laboratories) and two private (University of Science and Technology Hospital and Aulqi Specialized Medical Laboratories) in Sana'a city. Ninety-four individuals were enrolled in this study. Forty-seven persons were clinically diagnosed to have RA by a rheumatologist and 47 healthy subjects without RA were used as controls. Sera were separated and tested for presence of serum anti-MBL autoantibodies, ACPA, RF and CRP by a commercially available enzyme linked immunosorbent assay (ELISA) and latex agglutination technique.
Results: Study results showed that the mean±SD for the levels of serum anti-MBL autoantibodies among RA cases were 394±243 ng/ml which were significantly higher than that recorded among healthy controls (217±173 ng/ml). The levels of serum anti-MBL autoantibodies were associated with positive RF and CRP tests (p=.02 and .007 respectively), but not with positive ACPA test (p=.42).
Conclusion: The result of this study showed higher levels of serum anti-MBL autoantibodies among RA cases comparing with the healthy controls and reveal an association with positive results for RF and CRP, but not with ACPA. Therefore, the anti-MBL antibody levels may associated with systemic autoimmune diseases and might not exclusive to RA.
Peer Review History:
Received 8 May 2018; Revised 12 May; Accepted 14 May, Available online 15 May 2018
UJPR follows the most transparent and toughest ‘Advanced OPEN peer review’ system. The identity of the authors and, reviewers will be known to each other. This transparent process will help to eradicate any possible malicious/purposeful interference by any person (publishing staff, reviewer, editor, author, etc) during peer review. As a result of this unique system, all reviewers will get their due recognition and respect, once their names are published in the papers. We expect that, by publishing peer review reports with published papers, will be helpful to many authors for drafting their article according to the specifications. Auhors will remove any error of their article and they will improve their article(s) according to the previous reports displayed with published article(s). The main of it is ‘to improve the quality of a candidate manuscript’. Our reviewers check the ‘strength and weakness of a manuscript honestly’. There will increase in the perfection, and transparency.
Received file: Reviewer's Comments:
Average Peer review marks at initial stage: 6.5/10
Average Peer review marks at publication stage: 8.0/10
Reviewer(s) detail:
Dr. Ahmad Abdelsattar El-Ebiary, Tanta University Hospitals, Tanta, Egypt, [email protected]
Dr. Anthony C. C. Egbuonu, Michael Okpara University of Agriculture, Nigeria, [email protected]
Similar Articles:
PREVALENCE OF DYSLIPIDEMIA AND ITS ASSOCIATION WITH DISEASE ACTIVITY IN PATIENTS WITH RHEUMATOID ARTHRITIS IN SULAIMANI GOVERNORATE
THE ASSOCIATION OF EPSTEIN-BARR VIRUS ANTIBODIES WITH RHEUMATOID ARTHRITIS AMONG YEMENI PATIENTS IN SANA’A CITY
INTERLEUKIN-22 SERUM LEVELS IN PATIENTS WITH RHEUMATOID ARTHRITIS IN SANA'A CITY, YEME
EFFECTS OF NON-LINEAR MAGNETIC CHARGE ON INDUCTION FURNACE OPERATION DURING THE HEATING CYCLE
This research studying the electromagnetic behavior of the induction furnace when its core is a magnetic material taking into consideration the effect of the non-linear dependence of the magnetic flux induced in it due to the applied magnetizing force. Since the magnetic characteristics are severely affected by temperature rise in a non-linear way, so as the specific electric resistance of the charge material, this work deals with studying the effect of temperature on the non-linear characteristics of a magnetic core simultaneously with that on the specific electric resistance to show the electromagnetic behavior of the furnace during heating operation. The distribution of the current density, flux density and the magnetizing force at different temperatures inside the furnace and on the charge surfaces are determined for different temperatures. Also the flux distribution is plotted at these cases. This study will be the base for future work on the electromagnetic-thermal coupled analysis for the induction furnace
Wastewater Treatment in Baghdad City Using Moving Bed Biofilm Reactor (MBBR) Technology
In this study, a laboratory scale system of Moving Bed Biofilm Reactor (MBBR) was used to treat municipal wastewater from a domestic community in Baghdad City to get the water free from BOD for reuse in the irrigation or discharge to the river. The aim of the described experimentation was the comparison of a low cost MBBR and an activated sludge system (AS); the other aim from this research is to derive successful MBBR wastewater reuse projects in Iraq. Laboratory experiments were conducted in two parts, firstly at BOD5 load of about (150-200) mg/l, filling ratio of plastic elements in the MBBR reactor was 40%. Aerobic reactor consumed most of the biodegradable organic matter. The BOD5 removal efficiencies were 78 and 90% for MBBR & AS respectively. Second part when BOD5 load about (900-1300) mg/l used (synthetic wastewater)، filling ratio is 67%. The removal efficiencies of BOD reached 73 % for AS and about 88% for MBBR
A survey of voice pathology surveillance systems based on internet of things and machine learning algorithms
The incorporation of the cloud technology with the Internet of Things (IoT) is significant in order to obtain better performance for a seamless, continuous, and ubiquitous framework. IoT has many applications in the healthcare sector, one of these applications is voice pathology monitoring. Unfortunately, voice pathology has not gained much attention, where there is an urgent need in this area due to the shortage of research and diagnosis of lethal diseases. Most of the researchers are focusing on the voice pathology and their finding is only to differentiating either the voice is normal (healthy) or pathological voice, where there is a lack of the current studies for detecting a certain disease such as laryngeal cancer. In this paper, we present an extensive review of the state-of-the-art techniques and studies of IoT frameworks and machine learning algorithms used in the healthcare in general and in the voice pathology surveillance systems in particular. Furthermore, this paper also presents applications, challenges and key issues of both IoT and machine learning algorithms in the healthcare. Finally, this paper highlights some open issues of IoT in healthcare that warrant further research and investigation in order to present an easy, comfortable and effective diagnosis and treatment of disease for both patients and doctors
- …