The Journal of Natural Sciences <p style="direction: ltr;"><span style="font-size: 0.875rem;">Al-Aqsa University Journal is issued by the Deanship of Scientific Research at Al-Aqsa University - Palestine.</span></p> <p style="direction: ltr;"><span style="font-size: 0.875rem;">The first four volumes were issued under the name of the Journal of the College of Education, then the name was changed to the Journal of Al-Aqsa University in the fifth volume, which was issued in January 2001, and included research in the humanities, natural and applied sciences.</span></p> <p style="direction: ltr;"><span style="font-size: 0.875rem;">Starting with the eighth volume in 2004, the magazine was separated into the Journal of Al-Aqsa University - the Journal of Human Sciences and the Journal of Al-Aqsa University - the Journal of Natural Sciences.</span></p> <p style="direction: ltr;">International Standard No. Al-Aqsa University Journal - Journal of Natural Sciences ( ISSN 2070-3155 (Print), ISSN 2521-893X (Online)</p> <p style="direction: ltr;"><span style="font-size: 0.875rem;">Arab Impact Factor Journal of Al-Aqsa University - Journal of Natural Sciences 2017 </span><span style="font-size: 0.875rem;">(AIF) 2,1</span></p> Al-Aqsa University en-US The Journal of Natural Sciences 2070-3155 Thermal Simulation and Analysis of Cell Injury in Cryosurgery of Human Liver Cancer Ablation <p>Our study investigates the implementation of cryosurgery for human liver cancer ablation. Cancer ablation using low-temperature refrigeration technique is a recent and challenging technique and may be recommended for patients parallel with other medication systems, or for patients who experience health complications undergoing other cancer medications. Specifically, in this study, a model consisting of human liver cancer tissues subjected to low-temperature refrigeration through a cryogenic probe is thermally simulated and analyzed using ANSYS software. The liver cancerous tissue was assumed to be 0.025 m in length, 0.025 m in width and 0.005 m in depth. The model simulations were performed at cryoprobe tip temperatures of – 100 <sup>o</sup>C and – 200<sup>o</sup>C to analog the real clinical implementation of the technique. The temperature distributions across the cancerous liver tissue are obtained in 8 locations. Based on the present thermal analysis the extension of cooling, freezing, and thawing stages are defined and suggested to be estimated prior the implementation of cryotherapy as they can be used to identify the thermal history parameters responsible for obtaining complete cell injury. In addition, intracellular ice crystals to the formation mechanism is studied and their formation is may be subjected to an influence of thermodynamic properties in the microscopic domain besides the thermal history parameters such as cooling rate, cryoprobe tip temperature in relation to the extent of cooling, freezing and thawing stages.</p> <p>&nbsp;</p> <p><strong>Keywords</strong>: Cryosurgery; Liver Cancer; Direct Cell Injury; Intracellular Ice Crystal; Cryotherapy; Cancer Treatment; ANSYS Software.</p> Raghda Alakhras Mohamed Elnaggar Mohammed Alnahhal Copyright (c) 2022 2022-01-01 2022-01-01 24 01 1 23 10.12816/sciences.v24i01.115 Android-Arduino Platform for Detecting and Monitoring Obstructive Sleep Apnea (OSA) <p>Obstructive sleep apnea (OSA) is a sleep disorder in which breathing stops due to repeated obstruction of the upper airway for ten seconds or more during sleep. This serious medical condition leads to debilitating health consequences and affect health related quality of life. OSA causes a sudden drop in the level of oxygen in the blood, which leads to high blood pressure and hypoxia to body tissues.&nbsp; Therefore, the correct diagnosis and continuous monitoring of OSA is critical. Polysomnography (PSG) is one of the most common diagnostic methods for sleep disorders, and is the gold standard for diagnosing this condition. In PSG, physiological signals (brain waves, blood oxygen level, heart rate, respiration) are recorded during an expensive lab stay in which the patient is required to sleep in the hospital with large and multiple wires between the human body and the machine. This study describes the development and feasibility of a low-cost platform for detecting the OSA by analyzing the accelerometer readings of the MPU6050 sensor that monitors chest movement resulting from respiratory distress and it is able to determines the position of a sleeping person by the accelerometer as well. The on-chip Bluetooth module transmits data through a mobile application from patients to health care professionals for further analysis of their health data and to monitor their respiratory status continuously. This method may provide an alternative test to PSG with a portable, convenient, inexpensive, and readily available device that would allow users to perform OSA diagnosis at home without the need for nighttime testing in a hospital sleep laboratory.</p> Ezzaldeen Edwan Mohammed Altubji Amjad Abu Jedyan Alia Alghwiri Copyright (c) 2022 2022-08-23 2022-08-23 24 01 24 39 10.12816/sciences.v24i01.116 Control Methods for Mitigating Critical Cloud Computing Issues in Banking Organizations: A review <p>The procedures, methods, and techniques used to reduce and control cloud computing risks are known as cloud computing risk management. Cloud security is a wide issue that encompasses any combination of rules, technology, and control techniques used to safeguard data, cloud infrastructure, and services against potential threats. The goal of this research is to examine techniques and solutions for addressing major cloud concerns in financial institutions. Furthermore, the findings suggest that cloud control approaches based on secondary data will help to reduce cloud computing problems. Indeed, we identified 20 essential cloud management techniques for banking businesses to reduce cloud problems, including integrated automated software tools, cloud elasticity, and quick scalability, among others. The likelihood of cloud computing success in banking companies will be substantially increased if successful controlling models based on cloud computing systems are developed. In the future, we will employ artificial intelligence and optimal strategies to reduce major cloud concerns utilizing control methods and solutions.</p> Abdelrafe Elzamly Nabil Messabia Hazem Elbaz Copyright (c) 2022 2022-01-01 2022-01-01 24 01 40 59 10.12816/sciences.v24i01.118