Effects of air-abrasion pressure on the resin bond strength to zirconia: a combined cyclic loading and thermocycling aging study

Eman Z. Al-Shehri,Afnan O. Al-Zain,Alaa H. Sabrah,Sarah S. Al-Angari,Laila Al Dehailan,George J. Eckert,Mutlu Özcan,Jeffrey A. Platt,Marco C. Bottino 대한치과보존학회 2017 Restorative Dentistry & Endodontics Vol.42 No.3

Objectives: To determine the combined effect of fatigue cyclic loading and thermocycling (CLTC) on the shear bond strength (SBS) of a resin cement to zirconia surfaces that were previously air-abraded with aluminum oxide (Al2O3) particles at different pressures. Materials and Methods: Seventy-two cuboid zirconia specimens were prepared and randomly assigned to 3 groups according to the air-abrasion pressures (1, 2, and 2.8 bar), and each group was further divided into 2 groups depending on aging parameters (n = 12). Panavia F 2.0 was placed on pre-conditioned zirconia surfaces, and SBS testing was performed either after 24 hours or 10,000 fatigue cycles (cyclic loading) and 5,000 thermocycles. Non-contact profilometry was used to measure surface roughness. Failure modes were evaluated under optical and scanning electron microscopy. The data were analyzed using 2-way analysis of variance and χ2 tests (α = 0.05). Results: The 2.8 bar group showed significantly higher surface roughness compared to the 1 bar group (p < 0.05). The interaction between pressure and time/cycling was not significant on SBS, and pressure did not have a significant effect either. SBS was significantly higher (p = 0.006) for 24 hours storage compared to CLTC. The 2 bar-CLTC group presented significantly higher percentage of pre-test failure during fatigue compared to the other groups. Mixed-failure mode was more frequent than adhesive failure. Conclusions: CLTC significantly decreased the SBS values regardless of the air-abrasion pressure used.

Effects of air-abrasion pressure on the resin bond strength to zirconia: a combined cyclic loading and thermocycling aging study

Al-Shehri, Eman Z.,Al-Zain, Afnan O.,Sabrah, Alaa H.,Al-Angari, Sarah S.,Dehailan, Laila Al,Eckert, George J.,Ozcan, Mutlu,Platt, Jeffrey A.,Bottino, Marco C. The Korean Academy of Conservative Dentistry 2017 Restorative Dentistry & Endodontics Vol.42 No.3

Objectives: To determine the combined effect of fatigue cyclic loading and thermocycling (CLTC) on the shear bond strength (SBS) of a resin cement to zirconia surfaces that were previously air-abraded with aluminum oxide ($Al_2O_3$) particles at different pressures. Materials and Methods: Seventy-two cuboid zirconia specimens were prepared and randomly assigned to 3 groups according to the air-abrasion pressures (1, 2, and 2.8 bar), and each group was further divided into 2 groups depending on aging parameters (n = 12). Panavia F 2.0 was placed on pre-conditioned zirconia surfaces, and SBS testing was performed either after 24 hours or 10,000 fatigue cycles (cyclic loading) and 5,000 thermocycles. Non-contact profilometry was used to measure surface roughness. Failure modes were evaluated under optical and scanning electron microscopy. The data were analyzed using 2-way analysis of variance and ${\chi}^2$ tests (${\alpha}=0.05$). Results: The 2.8 bar group showed significantly higher surface roughness compared to the 1 bar group (p < 0.05). The interaction between pressure and time/cycling was not significant on SBS, and pressure did not have a significant effect either. SBS was significantly higher (p = 0.006) for 24 hours storage compared to CLTC. The 2 bar-CLTC group presented significantly higher percentage of pre-test failure during fatigue compared to the other groups. Mixed-failure mode was more frequent than adhesive failure. Conclusions: CLTC significantly decreased the SBS values regardless of the air-abrasion pressure used.

Patterns of Childhood Cancer Incidence in Saudi Arabia (1999-2008)

Al-Mutlaq, Hind M.,Bawazir, Amen Ahmed,Jradi, Hoda,Al-Dhalaan, Zeyad Abdulaziz,Al-Shehri, Ali Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.2

Background: Although childhood cancer is a rare disease, 100,000 children younger than 15 years of age die from cancer each year, the majority of them in developing countries. More data need to be gathered and published particularly in developing countries to better understand the scale of the problem. Aims: This study aimed to describe the patterns of childhood cancers in Saudi Arabia over a period of ten years (1999-2008). Materials and Methods: This descriptive retrospective study was based on secondary data from the Saudi Cancer Registry from 1999 to 2008. All Saudi cases (both genders), under the age of 15 years, who were diagnosed with cancer during the study period, were included in this study. Results: Childhood cancer in Saudi Arabia, in the period between 1999 and 2008, accounted for about 8% of total cancer cases. The most common encountered cancers were leukemia (34.1%), followed by lymphoma (15.2%), brain (12.4%), and kidney cancers (5.3%). The overall incidence of childhood cancers increased from 8.8 per 100,000 in 1999 to 9.8 per 100,000 in 2008. The incidence rates of cancers per 100,000 in the years 1999 and 2008 were generally higher among males, (9.4 and 11.5 in males vs. 8.3 and 8.1 in females). The highest incidence rate in the surveyed years was apparent in the birth to age 4 years group. Conclusions: Cancer is an important public health problem in Saudi Arabia and a major ascending contributor to mortality and morbidity in children. More studies are required to describe the patterns of childhood cancers and related risk factors in Saudi Arabia.

Tumor Segmentation in Multimodal Brain MRI Using Deep Learning Approaches

Al Shehri, Waleed,Jannah, Najlaa International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.8

A brain tumor forms when some tissue becomes old or damaged but does not die when it must, preventing new tissue from being born. Manually finding such masses in the brain by analyzing MRI images is challenging and time-consuming for experts. In this study, our main objective is to detect the brain's tumorous part, allowing rapid diagnosis to treat the primary disease instantly. With image processing techniques and deep learning prediction algorithms, our research makes a system capable of finding a tumor in MRI images of a brain automatically and accurately. Our tumor segmentation adopts the U-Net deep learning segmentation on the standard MICCAI BRATS 2018 dataset, which has MRI images with different modalities. The proposed approach was evaluated and achieved Dice Coefficients of 0.9795, 0.9855, 0.9793, and 0.9950 across several test datasets. These results show that the proposed system achieves excellent segmentation of tumors in MRIs using deep learning techniques such as the U-Net algorithm.

The Role of Data Technologies with Machine Learning Approaches in Makkah Religious Seasons

Waleed Al Shehri International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.8

Hajj is a fundamental pillar of Islam that all Muslims must perform at least once in their lives. However, Umrah can be performed several times yearly, depending on people's abilities. Every year, Muslims from all over the world travel to Saudi Arabia to perform Hajj. Hajj and Umrah pilgrims face multiple issues due to the large volume of people at the same time and place during the event. Therefore, a system is needed to facilitate the people's smooth execution of Hajj and Umrah procedures. Multiple devices are already installed in Makkah, but it would be better to suggest the data architectures with the help of machine learning approaches. The proposed system analyzes the services provided to the pilgrims regarding gender, location, and foreign pilgrims. The proposed system addressed the research problem of analyzing the Hajj pilgrim dataset most effectively. In addition, Visualizations of the proposed method showed the system's performance using data architectures. Machine learning algorithms classify whether male pilgrims are more significant than female pilgrims. Several algorithms were proposed to classify the data, including logistic regression, Naive Bayes, K-nearest neighbors, decision trees, random forests, and XGBoost. The decision tree accuracy value was 62.83%, whereas K-nearest Neighbors had 62.86%; other classifiers have lower accuracy than these. The open-source dataset was analyzed using different data architectures to store the data, and then machine learning approaches were used to classify the dataset.

Polymer matrix of fiber-reinforced composites: Changes in the semi-interpenetrating polymer network during the shelf life

Khan, Aftab A.,Al-Kheraif, Abdulaziz A.,Al-Shehri, Abdullah M.,Sä,ilynoja, Eija,Vallittu, Pekka K. Elsevier 2018 Journal of the mechanical behavior of biomedical m Vol.78 No.-

<P><B>Abstract</B></P> <P>This laboratory study was aimed to characterize semi-interpenetrating polymer network (semi-IPN) of fiber-reinforced composite (FRC) prepregs that had been stored for up to two years before curing. Resin impregnated prepregs of everStick C&B (StickTech-GC, Turku, Finland) glass FRC were stored at 4°C for various lengths of time, <I>i.e.</I>, two-weeks, 6-months and 2-years. Five samples from each time group were prepared with a light initiated free radical polymerization method, which were embedded to its long axis in self-curing acrylic. The nanoindentation readings on the top surface toward the core of the sample were made for five test groups, which were named as “stage 1–5”. To evaluate the nanohardness and modulus of elasticity of the polymer matrix, a total of 4 slices (100µm each) were cut from stage 1 to stage 5. Differences in nanohardness values were evaluated with analysis of variance (ANOVA), and regression model was used to develop contributing effect of the material's different stages to the total variability in the nanomechanical properties. Additional chemical and thermal characterization of the polymer matrix structure of FRC was carried out. It was hypothesized that time of storage may have an influence on the semi-IPN polymer structure of the cured FRC. The two-way ANOVA test revealed that the storage time had no significant effect on the nanohardness of FRC (p = 0.374). However, a highly significant difference in nanohardness values was observed between the different stages of FRC (P<0.001). The regression coefficient suggests nanohardness increased on average by 0.039GPa for every storage group. The increased nanohardness values in the core region of 6-months and 2-years stored prepregs might be due to phase-segregation of components of semi-IPN structure of FRC prepregs before their use. This may have an influence to the surface bonding properties of the cured FRC.</P>

An Improved PCR-RFLP Assay for Detection and Genotyping of Asymptomatic Giardia lamblia Infection in a Resource-Poor Setting

Yoursry Hawash,M. M. Ghonaim,S. S. Al-Shehri 대한기생충학열대의학회 2016 The Korean Journal of Parasitology Vol.54 No.1

Pyrolytic preparation of gold nanoparticle-coated taro carbon and its application for the selective detection of dopamine

Ahammad, A. J. Saleh,Hasan, Md. Mahedi,Islam, Tamanna,Al-Shehri, Mohammod Oudah,Anju, Anjuman Nesa,Alam, Md. Kawsar,Kim, Jong-Pil,Qasem, Mohammed Ameen Ahmed,Aziz, Md. Abdul The Royal Society of Chemistry 2018 NEW JOURNAL OF CHEMISTRY Vol.42 No.6

<P>A highly selective and sensitive electrochemical method was developed for the detection of dopamine (DA), based on a gold nanoparticle (AuNP)-coated taro carbon (TC)-modified glassy carbon electrode (AuNP-TC/GCE). This novel AuNP-TC material was simply prepared by carrying out a pyrolysis of a composite material obtained by treatment of an acid-treated taro stem powder with HAuCl4. Transmission electron microscopy (TEM), Raman spectroscopy, field-emission scanning electron microscopy (FESEM), energy dispersive spectroscopy (EDS), and X-ray diffraction (XRD) were employed to characterize the AuNP-TC material. Electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV) were used to characterize the modified electrode. The modified GCE exhibited a well-defined current response only toward the electrochemical oxidation of DA in a mixture solution of ascorbic acid (AA), DA, and uric acid (UA). This designed electrochemical sensor showed a linear response in the concentration range of 0.5 μM to 250 μM DA and a sensing limit (S/N = 3) of 0.25 μM was found. The sensor was also able to successfully detect DA in a dopamine hydrochloride injection (DAI). Moreover, the sensor exhibited excellent stability and reproducibility.</P>

Clinico-Pathological Patterns and Survival Outcome of Colorectal Cancer in Young Patients: Western Saudi Arabia Experience

Elsamany, Shereef Ahmed,Alzahrani, Abdullah Saeed,Mohamed, Mervat Mahrous,Elmorsy, Soha Ali,Zekri, Jamal Eddin,Al-Shehri, Ahmed Saleh,Haggag, Rasha Mostafa,Alnagar, Ahmed Abdel-Reheem,El Taani, Hani A Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.13

Background: The prognosis of young colorectal cancer (CRC) patients has been addressed by several studies but with contradictory results. The aim of the present study was to evaluate the clinico-pathological features of young Saudi patients with CRC in addition to displaying their survival outcome. Materials and Methods: In this retrospective study, young CRC patients (${\leq}40$ years) diagnosed between 2007 and 2011 from 4 centres in western Saudi Arabia, were included. Clinico-pathological features, tumor markers, dates of disease relapse and death were collected. Survival parameters were compared with those of older Saudi patients, reported in previous studies. Results: One hundred and sixteen young patients with CRC were identified (32.2% rectal, 67.8% colon). Some 44% were metastatic while 32.7% had stage III at diagnosis. Patients with grade 3 tumors made up 29.4% of the total while 49.5% had positive lymphovascular invasion (LVI), 56% had a lymph node (LN) ratio ${\geq}0.2$ and 40.2% were K-ras mutant. Median disease-free survival (DFS) and overall survival (OS) in non-metastatic cases were 22.8 and 49.6 months respectively with better median DFS in K-ras wild compared to mutant patients (28.5 vs 20.9 months, p=0.005). In metastatic cases, median OS was 19.5 months. These survival outcomes are inferior compared to those of older Saudi patients reported in prior studies. Conclusions: Young CRC patients present more commonly with advanced stage and a high incidence of adverse prognostic factors such as LVI and high LN ratio. Young CRC patients seem to have worse survival compared to older Saudi patients.

Reasons and Motivations for Cigarette Smoking and Barriers against Quitting Among a Sample of Young People in Jeddah, Saudi Arabia

Baig, Mukhtiar,Bakarman, Marwan A,Gazzaz, Zohair J,Khabaz, Mohamad N,Ahmed, Tahir J,Qureshi, Imtiaz A,Hussain, Muhammad B,Alzahrani, Ali H,Al-Shehri, Ali A,Basendwah, Mohammad A,Altherwi, Fahd B,Al-Sh Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.7

Background: Cigarette smoking is one of the leading causes of death in the world. Tobacco consumption has grave negative consequences for health so that it is important to understand the reasons and motivations towards cigarette smoking and barriers against quitting smoking among the young generation for developing effective policies to control this widespread problem. Materials and Methods: This cross-sectional survey was carried out at the Faculty of Medicine, Rabigh, King Abdulaziz University, Jeddah, Saudi Arabia. A total of 438 young smokers participated from the University and the general population. Data were collected through anonymous, self-administered questionnaires in the Arabic language that contained questions about the reasons and motivations towards cigarette smoking and barriers against quitting smoking. The questionnaire also contained several questions regarding knowledge and attitude of the participants towards cigarette smoking. The data was analyzed on SPSS-16. Results: The mean age of the respondents was $22.9{\pm}3.48$, out of 438 subjects 87 (19.9%) were married, and 351 (80.1%) were unmarried, and 331 (75.6%) belonged to urban areas while 107 (24.5%) were from the rural areas. Responding to a question about a number of cigarettes smoked per day, 31% answered 11-20, 29% answered 21-30, and 25% answered 1-10. Questioned about smokers in the family, 34.5% responded more than one, with 19% for brother and 13% for father. About the reasons for not quitting smoking, 26% described lack of willpower, 25% had no reason, 22% said that people around me smoke, and 15.3% responded stress at home/work. The major motivation for smokers was smoker friends (42%), for 33.8% others, for 12% father/brother and 7.8% media. Conclusions: There are several avoidable and preventable reasons and barriers against quitting smoking. However, knowledge and attitude about smoking were good, and the majority of the smokers were well aware of the associated hazards. Therefore, there is a need to search out ways and means to help them to quit this addiction.