Field and laboratory experiments were conducted during the course of study to
test if the sunflower residues along or with 50% full rate of trifluralin herbicide has
any impact on mycorrhizal association and soil nitrification which are important
processes for improving growth and productivity of crops. Results revealed that
incorporation of sunflower residues significantly increased spores number at 2, 4
and 6 weeks of residue decomposition compared to control treatment. However,
when the residues applied in combination with reduced rate of trifluralin herbicide,
sporulation was appreciably decreased by sunflower residues at 3 t ha-1 but it
remains almost the same at 6 t ha-1 rate of residues. Field soil amended with label
rate of trifluralin showed lower sporulation during the first six weeks from
beginning of the experiment. Colonization rate was appreciably increased by
application of sunflower residues at 6 t ha-1 and decreased by label rate of herbicide
and weed free treatments. The highest colonization intensity (83.4) was recorded by
application of sunflower residues at 6 t ha-1, followed by treatment of sunflower
residues at 3 t ha-1 (72.2). Label rate of herbicide recorded the least colonization
intensity (54.4). Incorporation of sunflower residues at 3 and 6 t ha-1 significantly
reduced nitrification rate at all incubation periods in comparison to control.
However, when the residues was applied along with the reduced rate of herbicide,
nitrification rate was significantly increased over the sole application of sunflower
residues at all incubation periods except 4 and 8 days incubation periods but it
remains below control. Soil sterilization treatment showed the least nitrification rate
at all incubation periods. In all bioassay experiments, the amounts of NH4
+
converted
in the incubated soil was significantly correlated with the amount of NO3
- produced
over the periods of incubation suggesting that soil incubation is efficient method that
can be used for measuring nitrification process.It can conclude Sunflower residues
amended in field soil was found to provide a good medium for growing Glomus
mosseae fungus and best way to inhibited nitrification rate and thus may contribute
in alleviating losses of NO3 used by plants and reducing the environmental
pollution.
Background: Neudesin is a peptide secreted in brain and adipose tissues that has neural and metabolic functions. Its role as regulator of energy expenditure leads to assumption that its level may be regulated depending on thyroid gland pathology. Objective: This study aimed to investigate serum neudesin levels in patients with thyroidism and to evaluate1 any possible relationship between plasma neudesin levels and thyroid hormone levels. Methods: The study included 100 women with newly diagnosed thyroidisim were subdivided into two groups: hyperthyroidism group (50 female patients with age ranged from 18 to 60 years) and hypothyroidism group (50 female patients with age ranged from 18 to 75 years). A control group (30 healthy females with a
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It must be emphasized that media is amongst human studies fusing older and more recent sciences together, and that its disclosures are the physics of the new communication. Michio Kaku, a theoretical physicist, in his book “ Visions”, confirms this fact when he says :” As a research physicist, I believe that physicists have been particularly successful at predicting the broad outlines of the future .Professionally, I work in one of the most fundamental areas of physics, the quest to complete Einstein's dream of a "theory of everything." As a result, I am constantly reminded of the ways in which quantum physics touches many of the key discoveries that shaped the twentieth century. “ He then got to the fact that the physical disclo
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This study had succeeded in producing a new graphical representation of James abacus called nested chain abacus. Nested chain abacus provides a unique mathematical expression to encode each tile (image) using a partition theory where each form or shape of tile will be associated with exactly one partition.Furthermore, an algorithm of nested chain abacus movement will be constructed, which can be applied in tiling theory.
Student dropout is a problem for both students and universities. However, in the crises that Lebanon is going through, it is becoming a serious financial problem for Lebanese private universities. To try to minimize it, it must be predicted in order to implement the appropriate actions. In this paper, a method to build the appropriate prediction system is presented. First, it generates a data source of predictor variables from student dataset collected from a faculty of economic sciences in Beirut between 2010 and 2020. Then, it will build a prediction model using data classification techniques based on identified predictor variables and validate it. Using open-source software and free cloud environments, a prediction program w
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Objective (s): To determine factors associated with the pregnancy complications (Maternal age, education,
obstetrical history, gravidity, birth space interval, and smoking).
Methodology: A cross-sectional study conducted at Al- washash & Bab-almoadham primary health care
centers. The sample was (non probability convenient sample) which included (550) pregnant women. The
study started from 1st April 2014 to 1
st of April 2015. The data was collected by direct interview using
special questionnaire to obtain socio-demographic information.
Results: the result shows that mean age of the subjects was 26.5± 4.39 years, 57.8% were housewives, the
sample included 103 premature uterine contractions, 98 pregnancy induce
Background: Hypertension occurs in some patients with primary nephritic syndrome it may be mediated by changes in vasopressin activities or intravascular volume.
Aim of study: is to find out how many patients with idiopathic nephritic syndrome hare hypertension. Subj. & Methods: The study included 50 children (29 males and 21 females) with age ranger between
1- 13 years. Sixteen patients (32%) were with initial attack of nephritic syndrome, while thirty four patients (68%) presented with relapse.
Results: Nine (18%) patients had hypertension, eight (16%) patients were relapse cases, and one (2%>) patient was with initial attack. Hypertension was found in four (8%) patients with steroid resistant neurotic syndrome, three (
Background:Oriental sore occurs mostly in the
mediteranian region , North Africa ,and the Middle East .
Rodents are the main reservoir for the parasite . The wet
type caused by L. major is rural and the dry type caused by
L. tropica is urban and humans are presumably the only
reservoir. Sand fly vectors are involved in all forms.
Objectives: This study aimed to show the most
important bacterial infections concomitant with cutaneous
leishmaniasis .
Methods; The study was performed on 75 patients (ages
1-50 years ) from both sexes were attending Skin Diseases
Department of Ramadi General Hospital during the period
extended from January to June 2000. These patients were
clinically diagnosed as patients
In recent years, Bitcoin has become the most widely used blockchain platform in business and finance. The goal of this work is to find a viable prediction model that incorporates and perhaps improves on a combination of available models. Among the techniques utilized in this paper are exponential smoothing, ARIMA, artificial neural networks (ANNs) models, and prediction combination models. The study's most obvious discovery is that artificial intelligence models improve the results of compound prediction models. The second key discovery was that a strong combination forecasting model that responds to the multiple fluctuations that occur in the bitcoin time series and Error improvement should be used. Based on the results, the prediction acc
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(8)
. In recent years, Bitcoin has become the most widely used blockchain platform in business and finance. The goal of this work is to find a viable prediction model that incorporates and perhaps improves on a combination of available models. Among the techniques utilized in this paper are exponential smoothing, ARIMA, artificial neural networks (ANNs) models, and prediction combination models. The study's most obvious discovery is that artificial intelligence models improve the results of compound prediction models. The second key discovery was that a strong combination forecasting model that responds to the multiple fluctuations that occur in the bitcoin time series and Error improvement should be used. Based on the results, the prediction a
... Show More
(8)