Abstract: In this paper, we will use the combination of Regularization method and Direct computation method, or shortly, Regularization-Direct method for solve two dimension- al linear Fredholm integral equations of first kind, by converting the first kind of equation to the second kind by applying the obtain a solution. A few examples are provided to prove the validity and applicability of this approach. regularization method. Then the Direct compotation method is applying to getting the resulting second kind of equation to 

Series of incubation experiments were conducted to study the effect of three different organic amendments (olive waste, compost and lemon waste) on some chemical properties of calcareous soil. Soil samples were collected from northwestern coast of Egypt (Borg El Arab) from the surface soil (0-30 cm). The samples were then air-dried and then grinded, sieved (2 mm) and analyzed some physical and chemical properties. Samples were used in laboratory experiment, where organic amendments were applied to soil with different rates (0, 0.5 , 1, 1.5 and 2% (w w-1). The prepared pots were incubated for four months at temperature between 23 to 30°C.  After 4, 8, 12 and 16 weeks of the incubation, the soil samples were taken for analysis soil pH, electrical conductivity (EC) and total equivalent calcium carbonate. The results showed that compost, olive waste and lemon waste could change the chemical properties of the calcareous soils. All organic amendments caused an increase in soil EC while they slightly decreased soil pH and CaCO3 content. The compost was showed to have effectivity effect on soil pH comparing to other amendments, while lemon waste and olive waste were showed to have effectivity effect on CaCO3 content after few weeks of application. This can be explained on the basis that the olive waste and lemon waste are less biodegradable than that of compost. Finally, it is concluded that olive waste and or lemon waste can be used in preparing any compost to be more useful.

We present the results of predictive modelling for the detection of anti-social behaviour in online communication in Arabic, such as comments which contain obscene or offensive words and phrases. We collected and labelled a large dataset of YouTube comments in Arabic which contains a broad range of both offensive and inoffensive comments. We used this dataset to train a Support Vector Machine classifier and experimented with combinations of word-level features, N-gram features and a variety of pre-processing techniques. We summarise the pre-processing steps and features that allow training a classifier which is more precise, with 90.05% accuracy, than classifiers reported by previous studies on Arabic text.

In recent years, many studies target anti-social behaviour such as offensive language and cyberbullying in online communication. Typically, these studies collect data from various reachable sources, the majority of the datasets being in English. However, to the best of our knowledge, there is no dataset collected from the YouTube platform targeting Arabic text and overall there are only a few datasets of Arabic text, collected from other social platforms for the purpose of offensive language detection. Therefore, in this paper we contribute to this field by presenting a dataset of YouTube comments in Arabic, specifically designed to be used for the detection of offensive language in a machine learning scenario. Our dataset contains a range of offensive language and flaming in the form of YouTube comments. We document the labelling process we have conducted, taking into account the difference in the Arab dialects and the diversity of perception of offensive language throughout the Arab world. Furthermore, statistical analysis of the dataset is presented, in order to make it ready for use as a training dataset for predictive modelling.

Abstract: In this work, we consider linear and nonlinear Volterra integral equations of the second kind. Here, by converting integral equation of the first kind to a linear equation of the second kind and the ordinary differential equation to integral equation we are going to solve the equation easily. The Adomian decomposition method or shortly (ADM) is used to find a solution to these equations. The Adomian decomposition method converts the Volterra integral equations into determination of computable components. The existence and uniqueness of solutions of linear (or nonlinear) Volterra integral equations of the second kind are expressed by theorems. If an exact solution exists for the problem, then the obtained series convergence very rabidly to that solution. A nonlinear term F(u) in nonlinear volterra integral equations is Lipschitz continuous and has polynomial representation. Finally, the sufficient condition that guarantees a unique solution of Volterra (linear and nonlinear) integral equations with the choice of the initial data is obtained, and the solution is found in series form. Theoretical considerations are being discussed. To illustrate the ability and simplicity of the method. A few examples including linear and nonlinear are provided to show validity and applicability of this approach. The results are taken from the works mentioned in the reference. 

This paper presents some initial studies for characterizing effects of human body movements on short range indoor links at 18-22 GHz. Firstly, measurement system is described, and then, calibration measurements along with initial results of the impact of human body movement on the channel are presented for some scenarios. 

Cutting samples (n = 150) and Core samples (n = 6) from the Taouratine, Dembaba, Assedjefar Marar, Awaynat Wanin, Tanezzuft and Mamuniyat Formations ( Jurassic to Ordovician), derived from wells (A-3, B-1, H-1 and H-15), locate in the A, B and H fields, present in Murzuq Basin were analysed. Rock-Eval Pyrolysis, Total Organic Carbon and specific Aromatic Molecular Biomarker (by the use of chromatography- mass spectrometry GC-MS) as geochemical parameters implemented to investigate their Lithology, kerogen type, organic matter (OM) richness and maturity evaluation. Such Formations are fair to very good quantity of organic matter passing in the course of excellent source rocks, have average of organic carbon richness (TOC) value ranged between 0.2% to 16.7% with one anomalously rich sample at 666m (well H-1) where a dark grey shale has a TOC content of 46.1% and high potential yield over 90000 ppm. The studied rocks are ranged from immature to mature of hydrogen index (HI) ranged between 24 - 302 mg HC/g TOC versus pyrolysis Tmax, with dominance of kerogen II/III Type, resulted based on HI versus oxygen index (OI), ranged from 3 to 161 mg CO2/g TOC. The Tmax , spore colouration (SCI) and Vitrinite Reflectance (% Ro) as maturity parameters ranged among 425 - 445, 5 - 8.5 and 0.35 - 3 respectively.

Aromatic hydrocarbon ratios by use of gas chromatography - mass spectrometry pointed to two levels of thermal maturity, where the high level of thermal maturity recorded in lower Silurian, whereas the less maturity was from other formations