- Sulieman Mohammed Salih Zobly - سليمان محمد صالح زو يلى
- published on 1/12/2006
- Ahmed Abdalla and Sulieman Zobly, “Centrality of ‘Steering Language’ to problem solving Trends of evolution
The use of steering language to formulate problems is an imperative step in the direction of problem solving. At the one hand it stimulates the problem constructor to analyze thoroughly and creatively in order to structure the problem in a communicable and comprehensible form. On the other hand steering language is key trigger for solution directions and the identification of the knowledge base tools to be implemented. This paper extends the application of the problem construction model [Abdalla et al 2005] to include a solution transition stage. It shows the centrality of the steering language terms and symbols in the problem diagram to problem solving process. The example is an implementation of the technological evolution trends. The trend of using more fields for heat treatment and temperature measurement.
published in TRIZ
- - منى الحاج سليمان سعيد سلمان
- published on 12/5/2016
- Characterization of Powdery Mildew of Snake Melon (Cucumis melo var. Flexuosus L.) And Evaluation of Some Inbred Lines of Snake Melon for Powdery Mildew Resistance
Snake melon (Cucumis melovar. flexuosus L.) is among the desirable melon groups in the Sudan, it is consumed locally as green
salad or pickles. The crop is being affected by major biotic and abiotic stresses which have laid to drastic reduction in yield. One of
the major biotic stress is powdery mildew. The disease can reduce yield by decreasing fruit size, number of fruits. Cucurbit powdery
mildew is most frequently caused by two obligate fungal pathogens, Podosphaera xanthii and Golovinomyces cichoracearum. The
most commonly identified pathogen; particularly in warmer production regions has been P. xanthii, therefore the study was carried
out to identify the causal agent of the disease, to screen some inbred lines of snake melon (Cucumis melo var. flexuosus) for
resistance to powdery mildew and to determine the physiological races under local field. Nine landraces of snake melon were used,
they were sampled for incidence and severity of the disease under studied area. Disease incidence was determined by using rate and
severity of the disease by using severity scale of 1- 5. A Complete Randomized Block Design (CRBD), with three replications was
used. Although determination of the physiological races by the used differential melon cultivars growing in the field was carried out.
Pathogen identification was done microscopy according to morphological characters of conidia, conidiophores, conidia germination,
presence or absence of fibrosin bodies and the perfect stage (chasmothecia) of the fungus. Field trial revealed that, incidence ranged
from (50.0–80.0%) on leaves. The severity was (2.0–4.8) moderate–very severe infection (40.0–96.0%) on leaves. Significant
differences (P= 0.05) were observed in disease severity. The causal agent of powdery mildew disease of snake melon (Cucumis melo
var. flexuosus) was conclusively identified as Podosphaera xanthii, microscopic observations of all tested samples revealed hyaline
conidia, ellipsoid to ovoid in shape, with fibrosin bodies, also the chasmothecia were exist in a high number, which contained only
one ascus with 3-8 ascospores, hayline appendages and globose. At least, the 9 local cultigenes tested they are susceptible to races 1
and 2US of Px under field conditions.
- - دفع الله عمر ادريس المصطفى
- published on 12/26/2016
- Incidence and survival rates of ovarian cancer in low-income women in Sudan
Abstract. Ovarian cancer is the second most common gynecological cancer worldwide. Little is known about the disease in Sudan. The objective of the present study was to evaluate the incidence rate, age and stage at diagnosis, and median survival time of patients presenting at the National Cancer Institute‑University of Gezira (NCI‑UG), Sudan. Data were collected in a prospective study of women with ovarian cancer over a period of eleven years of follow‑up (between 2000 and 2011). Descriptive statistics were used to summarize the distribution of the demographics of the sample. The direct method was used to compute the age‑standardized rate (ASR) using data from the 1966 and 2000 World Standard Populations (WSPs). The Kaplan‑Meier method was used to estimate survival functions and the median survival time. Log‑rank tests were used to statistically compare between the survival functions. There were steady increases in ovarian cancer incidence rates between 2000 and 2009, with a slight decline noted in 2010 and 2011. The patients' age range was 9‑90. The age‑specific incidence rate increased greatly in women aged 55 years or older. The majority of the patients had stage III or IV disease. The annual ASR using WSPs 1966 and 2000 as standard populations were 3.3 and 3.7 per 100,000 women, respectively. The median survival time was 31 months (95% confidence interval, 19‑43). The 5‑year cumulative survival rate was 38%. In Sudan, ovarian cancer affects postmenopausal women, akin to what is reported in the developed world with high incidence rates. Presenting with advanced stage disease is the predominant factor that results in a short survival time for women.
published in MOLECULAR AND CLINICAL ONCOLOGY
- Rabie Ahmed Mohammed Asad - ربيع أحمد محمد أسد
- published on 4/28/2016
- The prediction and analysis of fabric-evoked prickle properties of different textile woven fabrics using artificial neural networks (ANNs) method
This paper aims to discuss the design and development of an artificial neural networks (ANNs) model to understand human perception of the tactile prickliness properties of textile wear fabric materials and create an objective system to express those prickle perceptions in terms of measurable mechanical properties. The objective and also subjective hand measurement of the textile materials used for wear fabric has been check up on with consideration given the aspects of both dermatitis and comfort. In this work, we tried to predict the prickliness (itchiness) of wear fabric by their physical properties using a back-propagation network and a stepwise regression. Handle properties of fabrics were measured by universal test equipment (KES-F) and total prickle score (TPS) values of the wear fabrics were determined by a group of panelists consisting of some textile experts. The optimum construction of neural network was investigated through the change of layer and neuron number. The results showed that the back-propagation network could predict the (TPS) values of wear fabric with a meaningful difference. These wear fabrics were used to show that the results of neural network were in good agreement with subjective test results.
published in International Core Journal of Scientific Research
- Rabie Ahmed Mohammed Asad - ربيع أحمد محمد أسد
- published on 5/15/2016
- All Cellulose composite reinforced with Cellulose Nanofibrils isolated from Banana rachis.
All cellulose composites (ACCs) were fabricated by regeneration of cellulose matrix in Lithium chloride/N, N-dimethylacetamide (LiCl/DMAc) and reinforced with cellulose nanofibrils (CNFs) isolated from banana rachis by enzyme hydrolysis. The furnished cellulose nanofibrils had a diameter of 16±3.46nm, a length of 985.6±136.1nm and an aspect ratio of 61.9. Incorporating of the CNFs in the regenerated cellulose matrix improved the tensile properties marked by an increase in the stress at break from 35.53 to 66.45MPa for 0 and 20 wt% CNFs loading respectively, this consequently made the films stiffer recording an increase in young’s modulus from 0.68 to 3.25GPa and dwindling in strain to fail from 47.63 to 16.8%. Optical transmittance also decreased with increasing CNFs content from 86.88-68.11% when the CNFs loading was increased from 5 to 20%.
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