Investigating the behavior of axially loaded bored piles embedded in soil used in finite elements method

This comparative study is performed on bored piles by varying the basic problem parameters that are expected to affect pile carrying capacity and comparing the obtained results with those of the original basic problems, in order to get more knowledge about the behavior of bored piles under compressive load, and to include the best design for future pile construction

Activity recognition in mental health monitoring using multi-channel data collection and neural network

Treball de Final de Màster Universitari Erasmus Mundus en Tecnologia Geoespacial (Pla de 2013). Codi: SIW013. Curs acadèmic 2020-2021Ecological momentary assessment (EMA) methods can be used to extract context related information by studying a subject’s behaviour in an environment in real-time. In mental health EMA can be used to assess patients with mental disorders by deriving contextual information from data and provide psychological interventions based on the behaviour of the person. With the advancements in technology smart devices such as mobile phone and smartwatch can be used to collect EMA data. Such a contextual information system is used in SyMptOMS, which uses accelerometer data from smartphone for activity recognition of the patient. Monitoring patients with mental disorders can be useful and psychological interventions can be provided in real time to control their behavior. In this research study, we aim to investigate the effect of multi-channel data on the accuracy of human activity recognition using neural network model by predicting activities based on data from smartphone and smartwatch accelerometer sensors. In addition to this the study investigates model performance for similar activities such as SITTING and LYING DOWN. Tri-axial accelerometer data is collected at the same time from smartphone and smartwatch using a data collection application. Features are extracted from the raw data and then used as input to a neural network. The model is trained for single data input from smartphone and smartwatch as well the data from sensor fusion. The performance of the model is evaluated by using test samples from collected data. Results show that model with multi-channel data achieves a higher accuracy of activity recognition than the model with only single-channel data source

BLADDER CANCER: INCIDENCE, ASSOCIATION, BASIS, GEOGRAPHY AND RISK FACTORS

Objectives: The purpose of the study are to formulate an idea about the number of patients with bladder cancer in Missan city and those of them that are on treatment by the oncology center of the province. Also to point towards the most prevalent histo-pathologic finding and to put our hands on the probable effect of some risk factors on the incidence which indicate to the noticed association between the endemicity of schistosomiasis in the rural areas of Missan with bladder cancer. Methods: A descriptive study was conducted in Al-Shafaa oncology center. The total numbers of patients involved in the study were 55, through period from July 2014 to April 2015. Results: Men were most affected 78.18% (43) than women 21.82% (12).Most of patients were smokers 80% (44). The mean age affected was between 60-70 years 34.55% (19). The urban peoples were most present 65.45% (36). Among most histopathology, the transitional cell carcinoma was the most type 87.27% (48), which mostly invasive 63.64% (35), while the most grading was grade III 47.28% (26) and the most staging was T2 45.45% (25). Conclusion: The incidence of squamous cell carcinoma was, 12.73% of the subjects of the study, which is associated with schistosomiasis

BLADDER CANCER: INCIDENCE, ASSOCIATION, BASIS, GEOGRAPHY AND RISK FACTORS

Objectives: The purpose of the study are to formulate an idea about the number of patients with bladder cancer in Missan city and those of them that are on treatment by the oncology center of the province. Also to point towards the most prevalent histo-pathologic finding and to put our hands on the probable effect of some risk factors on the incidence which indicate to the noticed association between the endemicity of schistosomiasis in the rural areas of Missan with bladder cancer. Methods: A descriptive study was conducted in Al-Shafaa oncology center. The total numbers of patients involved in the study were 55, through period from July 2014 to April 2015. Results: Men were most affected 78.18% (43) than women 21.82% (12).Most of patients were smokers 80% (44). The mean age affected was between 60-70 years 34.55% (19). The urban peoples were most present 65.45% (36). Among most histopathology, the transitional cell carcinoma was the most type 87.27% (48), which mostly invasive 63.64% (35), while the most grading was grade III 47.28% (26) and the most staging was T2 45.45% (25). Conclusion: The incidence of squamous cell carcinoma was, 12.73% of the subjects of the study, which is associated with schistosomiasis

Challenges to the Iraqi parliament’s functions in the post Saddam Hussein Regime

In the context of the parliamentary institution in Iraq, despite more than ten years after the end of the Saddam regime in 2003, the functional role of the new parliament in the Iraqi political system is still problematic with a set of inherited problems such as the country’s historical development, internal socio-political structural challenges, and the regional undertakings that tend to intervene and influence domestic politics. Therefore, the general aim of this study is to explain why, how and to what extent do historical, internal and external challenges play a vital role in influencing the performance of the new Iraqi parliament in the post-Saddam regime. This study used qualitative approach in undertaking the research. The Historical Institutionalism theory was a reference for the study’s framework of analysis. It employs elite interviews as one of the primary data sources. The interviewees were divided into three main groups - members of the Iraqi parliament, diplomats, and lecturers of political science. Both face-to-face and telephone interview techniques with those practitioners and academicians in the field were adopted. Parliamentary and governmental reports, statutes and laws were also sources for primary data in this study. Secondary data were mainly from academic writings such as books, journal articles, and theses. The findings of the study show that the legislative and supervisory role of the new Iraqi parliament has been heavily influenced by the inherited political culture, ethno-religious conflicts, the consequences of the U.S. invasion in 2003, political corruption, absence of effective laws regarding political parties, election rules, economic challenges in oil and gas activities, absence of opposition and neighbouring countries’ intervention in the Iraqi political process and security predicaments. The study recommends, among others, that there is an urgent need to generate a new dynamism of democratic political culture in Iraq by activating lively debates in the parliament; amending the constitution in order to have balanced power distribution among the key branches of the government; enacting new parties’ and election laws; safeguarding the economic interest of the country by having stringent oil and gas laws; activating the anti-corruption body, and national reconciliation, to ensure the sovereignty of the countr

Investigating the behavior of axially loaded bored piles embedded in soil used in finite elements method

This comparative study is performed on bored piles by varying the basic problem parameters that are expected to affect pile carrying capacity and comparing the obtained results with those of the original basic problems, in order to get more knowledge about the behavior of bored piles under compressive load, and to include the best design for future pile construction

Cr2O3:TiO2 Nanostructure Thin Film Prepared by Pulsed Laser Deposition Technique as NO2 Gas Sensor

تم استخدام تقنية الترسيب بالليزر النبضيPLD)) لتحضير أغشية رقيقة لأوكسيد الكروم (Cr2O3) المطعم بأوكسيد التيتانيوم ((TiO2 النانوية التركيب وبنسب تركيز مختلفة (9,7,5,3)% من أوكسيد التيتانيوم .لقد تمت دراسة تأثير نسب التطعيم لأوكسيد التيتانيوم في معدل الحجم البلوري للبنية التركيبية النانوية والتي تم فحصها باستخدام جهاز حيود الاشعة السينية(XRD) وطبوغرافية السطح تم مناقشتها باستخدام جهاز مجهر القوة الذرية (AFM).وقد لوحظ ان قيم فجوة الطاقة البصرية تتراوح بين (2,68الى 2,55) الكترون- فولت باستخدام مطياف امتصاص الاشعة (ضوء مرئي- فوق بنفسجية ) وكانت تنزاح بشدة نحو طيف الطول الموجي الاطول عند مقارنها مع اوكسيد الكروم (3 الكترون- فولت) وهذا يوضح ان البنية التركيبية للعينات كانت تعزز التأثير الكمي. أيضا تمت دراسة ومناقشة تحسسية الغاز وزمن الاستجابة للمتحسس بوجود غاز أوكسيد النيتروجين (NO2). وفي هذا البحث وجدنا ان التحسسية تزداد عند زيادة نسبة التطعيم من ( 3 الى 5) % ثم تعود تتناقص فوق ذلك .افضل نسبة تركيز لأوكسيد التيتانيوم لكي نتحسس غاز NO2 كانت عند نسبة تطعيم 5% وقد ظهر ان مقدار التحسسية  كانت تساوي168,75 % وزمن الاستجابة 23 ثانية عند درجة حرارة 200 سيليزي .Pulsed laser deposition (PLD) technique was applied to prepared Chromium oxide (Cr2O3) nanostructure doped with Titanium oxide (TiO2) thin films at different concentration ratios 3,5,7 and 9 wt % of TiO2. The effect of TiO2 dopant on the average size of crystallite of the synthesized nanostructures was examined by X-ray diffraction. The morphological properties were discussed using atomic force microscopy(AFM). Observed optical band gap value ranged from 2.68 eV to 2.55 eV by ultraviolet visible(UV-Vis.) absorption spectroscopy with longer wave length shifted  in comparison with that of the bulk Cr2O3 ~3eV. This indicated that the synthesized samples are attributed to the enhancement of the quantum confinement effect. Gas response sensitivity, and recovery times of the sensor in the presence of NO2 gas were studied and discussed. In this work it is found that, the sensitivity increases when doping ratio increases from 3wt% to 5wt% of TiO2  and return to decrease over that. The optimum concentrations ratio for NO2 gas sensitivity is 5wt% of TiO2  and sensitivity is 168.75% at 200oC.&nbsp

Evaluation of Hepcidin Hormone and Some Biochemical Parameters in Iraqi Children Patients with β-Thalassaemia Intermedia Before and After Blood Transfusion

Background:"thalassaemia" refers to a group of blood diseases characterized by low or absent synthesis of normal globin chains. Depending on the chain whose synthesis is impaired, the thalassaemias are called α‒, β‒,ɣ‒ ,σ‒ or ԑɣσβ-thalassaemias . Most thalassaemias are inherited as recessive traits.Objective: the aim of this study is evaluated hepcidin levels, transferrin, ferritin, serum iron and total iron bending capacity [TIBC] before and after blood transfusion of thalassaemia patients.Methods: In this study, we take 80 persons the age of them were mean±SD (9.68±2.08), 40 patients with β-thalassaemia intermedia, and 40 healthy persons as control. We take blood 5ml from thalassaemia's patients before blood transfusion and after transfusion of blood by 3 days. The total number of the samples we taken are 120, 40 samples before blood transfusion, 40 samples after blood transfusion and 40 control samples. Then we separated each sample into two tubes.Result: increase iron absorption of thalassaemia patient after blood transfusion due to decrease level of hepcidin.Conclusion: from this study was appear iron absorption meanly affect by hepcidin level, so that hepcidin was highly significant change in thalassaemia patient after blood transfusion and that lead to iron overload. So conclude high levels of ferritin after blood transfusion due to blood uptake lead to increase iron storage (ferritin). Keywords: β-thalassaemia intermidia, hepcidin, serum iron and ferritin (iron storage)

An Innovative Deep Learning Method to Diagnose Mosquito-Borne Illnesses in Blood Image Analysis

Introduction: Malaria, an infectious illness carried by the bite of infected mosquitoes, is a significant public health concern, especially in Africa. The management of mosquito-human contact is crucial to mitigate its transmission. Artificial intelligence, including machine learning and deep learning techniques, is being utilized to enhance the diagnosis and identification of mosquito species. This advancement aims to facilitate the development of more efficient control measures. Aims and Objective: To analyze the efficiency of three deep learning models in identifying blood-borne diseases by evaluating the macro and micro picture of blood samples. Method: In this retrospective investigation, three deep learning algorithms, namely Convolutional Neural Networks (CNN), MobileNetV2, and ResNet50, were used to identify mosquito-borne illnesses, focusing on malaria. The research used a dataset of 120 blood samples gathered over one year from the hospital's pathology department. The CNN model streamlines preprocessing with multilayer perceptrons, simplifying malaria component extraction. MobileNetV2, a lightweight network, outperforms others with fewer parameters. Its compact blocks in Dense-MobileNet models minimize constraints and computation expenses. ResNet50 resolves degradation issues with a residual structure, preventing overfitting as hidden layers increase. Results: The study evaluated three deep learning models (CNN, MobileNetV2, and ResNet50) for medical classification. The study also demonstrated improved True Positive Rates as False Positive Rates increased, indicating better accurate identification while controlling false positives. ResNet50 consistently outperformed the other models, showcasing its superior performance. The study revealed high precision scores for all models, classifying "Uninfected" and "Infected" cases. ResNet50 exhibited slightly higher precision, indicating its precision-based superiority. Overall, all models demonstrated vital accuracy, and ResNet50 showed exceptional performance. The study found that ResNet50 performs better in True Positive and False Positive Rates. Conclusion: The study has concluded that ResNet50 has shown the best performance in detecting blood-borne diseases