Predicting breast cancer risk, recurrence and survivability

This thesis focuses on predicting breast cancer at early stages by using machine learning algorithms based on biological datasets. The accuracy of those algorithms has been improved to enable the physicians to enhance the success of treatment, thus saving lives and avoiding several further medical tests

Compression Splices of Reinforcing Bars in Reactive Powder Concrete

Compression splices are widely used in compression members such as columns in multi- story buildings. There are efficient design equations for compression splice of reinforcement embedded in conventional concrete proposed by design codes of practice. However, there is no design equation for compression splice in compression members made of reactive powder concrete (RPC). So, it is required to introduce a design equation to calculate the steel bars lap splice length of RPC compression members. In this study, an experimental work was conducted to investigate the effect of different variables on compression splices strength. These variables were compressive strength of concrete, transverse reinforcement amount, splice length, yield stress of reinforcement and spliced rebar diameter. The experimental results showed that; Increase in the yield stress of reinforcing bars, length of spliced bars and compressive strength of concrete result in increasing in splice strength. Meanwhile, increase in diameter of reinforcing bars result in decreasing in compression splice strength. The increase in the amount of transverse reinforcement has insignificant effect on compression spliced strength of rebar. Finite element analysis was used to analyze the tested specimens and compared between numerical and experimental result was carried out. The numerical and experimental ultimate load and load-deflection behavior is very close to each other. Finite element method was used to investigate a wide range of experimental variables values through a parametric analysis. A new proposing equation for compression splicing of rebar in RPC column is presented in this research

Bond Strength Behavior for Deformed Steel Rebar Embedded in Recycled Aggregate Concrete

This study investigated the bond strength behavior of a deformed steel bar embedded in RAC through an experimental program and numerical analysis. In the experimental work, eighteen push-out specimens were tested. The compressive strength of RAC, the recycled aggregate replacement ratio, the embedded length of the reinforcing bar, the size of the rebar, the concrete cover, and the yield stress of the reinforcing steel bar were the main parameters investigated. The effect of these parameters on bond strength, bond-slip behavior, and modes of failure are discussed. Analysis of the test results indicate that the bond strength in concrete is reduced by 13% when using a specimen constructed from recycled aggregate compared with conventional concrete. The failure modes in a reinforcing bar embedded in RAC representing splitting failure and push-out failure, were similar to those in conventional concrete. The finite element analysis presented in this study was used to analyze forty-four push-out specimens. Through numerical analysis, the bond strength of RAC was related to the 0.57 power function of compressive strength. A design equation for bond strength of reinforcing bars embedded in RAC is proposed. The proposed equation was calibrated through the numerical and experimental results.

A Predictive model for liver disease progression based on logistic regression algorithm

Liver disease counts to be one of the most prevalent diseases in the worldwide. Therefore, this paper is aim to address the problem of predicting liver disease progression. As the existing predictive models focus on predicting the label of disease; the probability of developing the disease is still obscure. This paper, therefore, has proposed a model to predict the probability occurrence of liver diseases. The proposed predictive model used logistic regression abilities to predict the probability of liver disease occurrence. ILPD dataset was used to analyze the performance of the model. The predictive model has shown outstanding performance with a prediction accuracy rate of 72.4%, the sensitivity of 90.3%, the specificity of 78.3 %, Type I Error of 9.7 %, Type II Error of 21.7 %, and ROC of 0.758%. The model has furthermore confirmed the feasibility of the laboratory tests such as as (Age; Direct Bilirubin (DB), Alamine_Aminotransferase (SGPT), Total_Protiens (TP), Albumin (ALB)) to predict the disease progression. The predictive model will be helpful to patients and doctors to realize the progression of the disease and make a suitable timely intervention

Finite Element Analysis of UHPC Corbels

Finite element method is the most widely numerical technique used in engineering field. Through the study of behavior of concrete material properties, various concrete constitutive laws and failure criteria have been developed to model the behavior of concrete. A feature of the Finite Element program (ATENA) is used in this study to model the behavior of UHPC corbel under concentrated load only. The Finite Element (FE) model is followed by verification against experimental results. Some variable effects on the shear capacity of the UHPC corbels are also demonstrated in a parametric study. A proposed design equation of shear strength of UHPC corbel was presented and checked with numerical results

Compressive Strength of Bottle-Shaped Compression Fields of Fiber Reinforced Concrete Members

Applying load to a structural member may result in a bottle-shaped compression field especially when the width of the loading is less than the width of bearing concrete members. At the Building and Construction Department – the University of Technology-Iraq, series tests on fibre reinforced concrete specimens were carried out, subjected to compression forces at the top and bottom of the specimens to produce compression field. The effects of steel fibre content, concrete compressive strength, transverse tension reinforcement, the height of test specimen, and the ratio of the width of loading plate to specimen width were studied by testing a total of tenth normal strength concrete blocks with steel fibre and one normal strength concrete block without steel fibres. Based on experimental results; all the test specimens failed with the splitting of concrete directly under the loading plate. Increased the uniaxial compressive strength of concrete increases the maximum bearing capacity of compressive stresses. The load-transverse deformation initially behaves linearly and shows some nonlinearity before failure. Addition of steel fibre to normal strength concrete or presence of transverse reinforcement, delay the reaching of maximum compressive stress after the presence of the first crack

Bond Stresses between Reinforcing Bar and Reactive Powder Concrete

A good performance of reinforced concrete structures is ensured by the bond between steel and concrete, which makes the materials work together, forming a part of solidarity. The behavior of the bond between the reinforcing bar and the surrounding concrete is significant to evaluate the cracking control in serviceability limit state and load capacity in the ultimate limit state. In this investigation, the bond stresses between reinforcing bar and reactive powder concrete (RPC) was considered to compare it with that of normal strength concrete (NSC). The push-out test with short embedment length is considered in this study to evaluate the bond strength, bond stress-slip relationship, and bond stress-crack width relationship for reactive powder concrete members. The compressive strength of concrete, the nominal diameter of reinforcement, concrete cover, and amount of steel fibers and embedded length of reinforcement were considered as variables in this study. The test results show that the ultimate bond stress increased with increasing of the compressive strength of concrete, decreasing the nominal diameter of the reinforcing bar, increasing the concrete cover and increasing steel fiber content. In a bond stress-slip relationship, the NSC specimen shows a very short softening zone after reaching the peak point in comparisons with RPC specimen. In RPC, bond stress-slip relationship shows stiffer behavior when the steel fiber content was increased. RPC shows stepper softening zone due to the presence of steel fiber, and the absence of steel fiber cause push-out failure without descending part after peak point. Using NSC instead of RPC in anchorage between reinforcement and concrete, decrease the crack width produced due to radial tensile stresses through the push-out of reinforcing bar. In RPC, the absence of steel fiber, decrease the nominal diameter of the reinforcing bar, increase the concrete cover, decrease the embedded length of reinforcing bar cause push-out failure and vice versa cause splitting failure

Social behavior of School first-year pupils, enrolled and not enrolled in kindergarten

تم الاعتماد على الاستبانة المغلقة والمتضمنة (١٥) فقرة لقياس السلوك الاجتماعي لتلاميذ الصف الاول الابتدائي والملتحقين وغير الملتحقين برياض الاطفال بواقع (٢٥) تلميذ ملتحق و (٢٥) تلميذ غير ملتحق تم اختيارهم عشوائيا من مدرسة العدل الابتدائية المختلطة وتم توجيه اسئلة الاستبانة. النتيجة التي توصلنا اليها في هذا الورقة هو يوجد فرق ذو دلالة معنوية بين الملتحقين من تلاميذ الصف الاول وغير الملتحقين منهم في سلوكهم الاجتماعي. ونتيجة لذلك نوصي بالعناية بمعلمة الصف الاول الابتدائي والاهتمام بأعدادها وتأهيلها. نقترح بالاهتمام بالكادر التعليمي بالمدرسة الابتدائية وخاصة معلمي الصف الاول الابتدائي من حيث استخدام اللغة العربية والتقنيات الحديثة للدراسة.  The study relied on the closed questionnaire, which included (15) paragraphs for the measurement of the social behavior of the first grade pupils, those who were enrolled and not enrolled in kindergartens, by (25) students enrolled and (25) students who were not enrolled and randomly selected from the mixed primary school. The conclusion we reached in this study is that there is a significant difference between the first graders and those who are not enrolled in their social behavior. As a result, we recommend that take care of the teacher of the first grade of primary and pay attention to the preparation and rehabilitation during the profession because it has an important role in the child's learning

Response of three potato varieties to seaweed extracts

An experiment was conducted in the fields of a potato farmer in Babylon province, Al-Dabla region, 17 km south of Al-Hillah city during autumn season 2017, to study the effect of two factors the first factor: was three varieties of potato tubers (Arizona, Agria, Riviera),class A which obtained from the yield of spring season at the same year which produced by the same farmer of the Elite order.The second factor: wasusing three extracts of seaweed plants (Phylgreenmira, Algazone,  Ultra-kelp) at a concentration of (3 cm3.L-1) for all extracts in addition to the control treatment.The experiment was conducted in the field according to Split Plot Design with in Randomized Complete Block Design (R.C.B.D). Means were compared using the Duncan Multiplicity Range (DMRT) at probability level of 0.05. Results are summarized as follows: The plants of Arizona variety gave the highest values in plant height, number of aerial stems per plants, leaf area per plant, the percentage of dry matter ofwhole vegetative, number of tubers per plant, mean weight of tuber, plant yield and total yield of tubers (40.95 t.ha-1). Arizona and Riviera were superiorin dry matter and starchpercentage in tubers and specific gravity of tubers. Seaweed extract (Phylgreenmira) was significantly excelled in vegetative and quantitative traits by when gave the highest total yield of tubers (35.74 t.ha-1), while the three extracts were superior in the qualitative yield traits compared to the control treatment.The interaction between Arizona variety and Phylgreenmira seaweed extract was superior in all the studied traits which gave the highest total yield of tubers (47.89 t.ha-1)