Mobility-Pattern Based Localization Update Algorithm for Mobile Wireless Sensor Networks

In mobile wireless sensor networks, sensors move in the monitored area at any direction and speed. Unlike many other networking hosts, sensor nodes do not have global addresses. They are often identified by using a location-based addressing scheme. Therefore, it is important to have the knowledge of the sensor location indicating where the data came from. In this thesis, three localization update algorithms were designed, Specifically, a sensor movement is divided into three states: Pause, Linear, and Random. Each state adopts different localization update algorithm. Since complex movement involves different mobility patterns, a state transition model is developed to accommodate the transition among the three algorithms. This design is called Mobility-pattern Based Localization Update Algorithm. Simulation results and analysis are provided to study the localization update cost and location accuracy of the proposed mobility-pattern based design. The simulation is developed to accommodate the three different mobility patterns. The analysis to these results indicates that the localization update cost is minimized and the location accuracy is improved

The Big Five Personality Traits and Their Relationship to Psychological Hardness among Gifted Students in Jordan

The study aims to reveal the level of psychological hardness among gifted students in Jordan and to know the differences in the level of psychological hardness they have according to their academic grades, in addition to identifying the nature of the relationship between the big five personality traits and psychological hardness among gifted students in Jordan. The study population consisted of all gifted students in the King Abdullah II Schools for Excellence in Jordan, which number (3) the Jubilee School and the 18 pioneering centers for the gifted in Jordan affiliated with the Ministry of Education. A representative random sample of the study population was selected. The study also followed the correlational approach, and to achieve the objectives of the study, the big five personality traits scale was used prepared by (Costa & McCrae, 1992) and Arabization of Al-Ansari (1997), in addition to the psychological hardness scale (prepared by the researcher). The validity of the two scales was verified by calculating the validity of the discriminatory significance as an indicator of its construct validity and verifying its reliability by calculating Cronbach’s Alpha.To answer the study questions, descriptive statistic measures were used during the extraction of arithmetic means and standard deviations; To detect the level of psychological hardness among gifted students in Jordan, One-way ANOVA was used to detect the differences in the level of psychological hardness in the study sample according to the academic grade (tenth grade, first secondary, second secondary). Pearson Correlation coefficient was used to detect the correlation between the big five personality traits and psychological hardness among gifted students in Jordan. Finally, in light of the study results, the researcher presented recommendations and proposals related to the study results

Robotic learning of force-based industrial manipulation tasks

Even with the rapid technological advancements, robots are still not the most comfortable machines to work with. Firstly, due to the separation of the robot and human workspace which imposes an additional financial burden. Secondly, due to the significant re-programming cost in case of changing products, especially in Small and Medium-sized Enterprises (SMEs). Therefore, there is a significant need to reduce the programming efforts required to enable robots to perform various tasks while sharing the same space with a human operator. Hence, the robot must be equipped with a cognitive and perceptual capabilities that facilitate human-robot interaction. Humans use their various senses to perform tasks such as vision, smell and taste. One sensethat plays a significant role in human activity is ’touch’ or ’force’. For example, holding a cup of tea, or making fine adjustments while inserting a key requires haptic information to achieve the task successfully. In all these examples, force and torque data are crucial for the successful completion of the activity. Also, this information implicitly conveys data about contact force, object stiffness, and many others. Hence, a deep understanding of the execution of such events can bridge the gap between humans and robots. This thesis is being directed to equip an industrial robot with the ability to deal with force perceptions and then learn force-based tasks using Learning from Demonstration (LfD).To learn force-based tasks using LfD, it is essential to extract task-relevant features from the force information. Then, knowledge must be extracted and encoded form the task-relevant features. Hence, the captured skills can be reproduced in a new scenario. In this thesis, these elements of LfD were achieved using different approaches based on the demonstrated task. In this thesis, four robotics problems were addressed using LfD framework. The first challenge was to filter out robots’ internal forces (irrelevant signals) using data-driven approach. The second robotics challenge was the recognition of the Contact State (CS) during assembly tasks. To tackle this challenge, a symbolic based approach was proposed, in which a force/torque signals; during demonstrated assembly, the task was encoded as a sequence of symbols. The third challenge was to learn a human-robot co-manipulation task based on LfD. In this case, an ensemble machine learning approach was proposed to capture such a skill. The last challenge in this thesis, was to learn an assembly task by demonstration with the presents of parts geometrical variation. Hence, a new learning approach based on Artificial Potential Field (APF) to learn a Peg-in-Hole (PiH) assembly task which includes no-contact and contact phases. To sum up, this thesis focuses on the use of data-driven approaches to learning force based task in an industrial context. Hence, different machine learning approaches were implemented, developed and evaluated in different scenarios. Then, the performance of these approaches was compared with mathematical modelling based approaches.</div

Phase 2 study of add-on parsaclisib for patients with myelofibrosis and suboptimal response to ruxolitinib: Final results

Ruxolitinib reduces spleen volume, improves symptoms, and increases survival in patients with intermediate- or high-risk myelofibrosis. However, suboptimal response may occur, potentially because of signaling via the phosphoinositide 3-kinase (PI3K)/protein kinase B pathway. This phase 2 study evaluated dosing, efficacy, and safety of add-on PI3Kδ inhibitor parsaclisib for patients with primary or secondary myelofibrosis with suboptimal response to ruxolitinib. Eligible patients remained on a stable ruxolitinib dose and received add-on parsaclisib 10 or 20 mg, once daily for 8 weeks, and once weekly thereafter (daily-to-weekly dosing; n = 32); or parsaclisib 5 or 20 mg, once daily for 8 weeks, then 5 mg once daily thereafter (all-daily dosing; n = 42). Proportion of patients achieving a ≥10% decrease in spleen volume at 12 weeks was 28% for daily-to-weekly dosing and 59.5% for all-daily dosing. Proportions of patients achieving ≥50% decrease at week 12 in Myelofibrosis Symptom Assessment Form and Myeloproliferative Neoplasms Symptom Assessment Form symptom scores were 14% and 18% for daily-to-weekly dosing, and 28% and 32% for all-daily dosing, respectively. Most common nonhematologic treatment-emergent adverse events were nausea (23%), diarrhea (22%), abdominal pain and fatigue (each 19%), and cough and dyspnea (each 18%). New-onset grade 3 and 4 thrombocytopenia were observed in 19% of patients, each dosed daily-to-weekly, and in 26% and 7% of patients dosed all-daily, respectively, managed with dose interruptions. Hemoglobin levels remained steady. The addition of parsaclisib to stable-dose ruxolitinib can reduce splenomegaly and improve symptoms, with manageable toxicity in patients with myelofibrosis with suboptimal response to ruxolitinib. This trial was registered at www.clinicaltrials.gov as #NCT02718300

A Low-Cost IoT Based Buildings Management System (BMS) Using Arduino Mega 2560 And Raspberry Pi 4 For Smart Monitoring and Automation

This work presents an internet of things (IoT) based building management system (BMS) for monitoring, control, and energy management in buildings to provide an efficient way of energy utilization. Existing systems mainly provide monitoring of different parameters with limited controlling/automation functions. Existing solutions also do not provide automatic decision-making, advanced safety management, and resource tracking. However, the proposed system provides a comprehensive way of monitoring, controlling, and automatic decision making regarding different environmental and electrical parameters in buildings, i.e., temperature, humidity, dust, volt, etc., by using a low-cost wireless sensor network (WSN). The architecture of the proposed system consists of five layers and uses analog sensors which are connected to Arduino Mega 2560 microcontrollers for data collecting, NodeMCUs ESP8266 for wireless communication, Raspberry Pi4 microcomputers for decision making, and nod-RED dashboard which runs locally on a Raspberry Pi 4to provide a friendly end-user interface. The system also uses the Message Queuing Telemetry Transport (MQTT) communication protocol through Wi-Fi and completely relies on the local devices in the architecture and does not need cloud computing services. The proposed system provides two different kinds of automation, i.e., safety automation for the safety of different devices with advanced features, and energy automation. The proposed system is also able to provide humidity control inside a room and to track and count the available resources in any facility. The proposed system is low cost, scalable, and can be used in any building. Simulation results show that the proposed system is highly efficient

Familial Retinoblastoma: Raised Awareness Improves Early Diagnosis and Outcome

Purpose. To study the impact of awareness of retinoblastoma in the affected families on the management and outcome of familial retinoblastoma patients. Methods and Materials. This is a retrospective, clinical case series of 44 patients with familial retinoblastoma. Collected data included patient’s demographics, laterality, family history, age at diagnosis, presenting signs, treatment modalities, tumor stage, eye salvage rate, metastasis, and mortality. Results. Out of 200 retinoblastoma patients in our registry, 44 (22%) patients were familial, 18 were probands, and 26 were second, third, or fourth affected family members. There were 76 affected eyes: 31 eyes of probands and 45 eyes of the other affected family members. Among probands, all patients (100%) had at least one eye enucleated: 58% (18 eyes) of the affected eyes were enucleated and 32% (10 eyes) of the affected eyes were radiated. On the other hand, among the nonprobands, only 20% had one eye enucleated, and only 4 eyes (9%) received radiation. The eye salvage rate was significantly higher in the nonprobands than in the probands in this series (p=0.00206). Patients diagnosed by screening (38%) had excellent visual outcome, and both eyes were salvaged. Conclusion. Awareness of families of the possibility of retinoblastoma and adequate screening led to a significantly higher rate of eye salvage in patients with familial retinoblastoma

The Status of Urban System in Bethlehem Governorate: Study on Urban Geography

The aim of the study is to analyse the status of urban system in Bethlehem governorate, through setting the hierarchical ratings for different urban populations in it. And showing the adequacy of this rating by applying certain quantitive measurements including the grade and volume of these populations, their urban density, the law of primate city by Jefferson, and the volumetric grade according to Zipf\u27s rule of grade and volume. Also showing the volumetric urban contrast between them, and the volume of the urban domination for the main city in the governorate according to the laws and the followed modules in the studies of urban planning and geography. The results of the study show that there is an applicability of Zipf\u27s rule of the grade and volume on each of the urban system of Bethlehem and Ubaidiya, but it did not apply on Beit Jala, Beit Sahour, Doha and Al-Khader, which came significantly close in population volume , and that the city of Bethlehem does not have an absolute urban domination, but rather has a larger urban weight than the other cities, and that the urban balance is good in the Bethlehem governorate, and it is possible to achieve an optimal balance if it is well planned in the next few years. The study suggested directing investments towards less fortunate areas in order to limit the dominance of the main cities in Bethlehem governorate, and the necessity to rely on planning and statistical methods for quantitative measures and indicators of urban balance in the future in the urban planning for the governorate