33 research outputs found
Cointegration, error correction and the demand for money in Saudi Arabia
No full textAuthor 1 :Alkswani, Mamdouh Alkhatib
Associate Professor,
Author 2: Al-Towaijari, Hamad A.
Assistant Professor in
Economics Department, College of Administrative Sciences, King Saud UniversityThis study investigates the determinants of the money demand function in
Saudi Arabia. Saudi economy was instable during the period 1977-1997
because of its dependence of the production of oil. This depending affects
sharply the rates of growth and the rates of inflation. The integration and
cointegration proprieties of the data are analyzed and the model of error
correction is used to estimate the demand for money. This paper concludes that
even the period of high instability in the economy, there exists a stationarity
long run demand for narrow money (M1) in Saudi Arabia
Kazuistika fyzioterapeutické péče o pacienta s antisyntetázovým syndromem
No full text(Czech Version) Autor: Amineh Alkhatib Název práce: Případová studie fyzioterapeutické léčby pacienta s Antisyntetázovým syndromem. Místo stáže: Institute of rheumatology (Revmatologický ústav) Cíl: Cílem práce bylo prozkoumat různé fyzioterapeutické techniky při zlepšování fyzického stavu 36letého mužského pacienta s intersticiálním plicním onemocněním souvisejícím se syndromem Antisynthetase s přítomností protilátek AntiEJ, AntiRO52 a AntiRO60. Metody: PIR, DNS, techniky měkkých tkání, mobilizace kloubů, fyzická cvičení, práh IMT, senzomotorická cvičení. Výsledky: Zlepšení dechové kapacity a dýchacího vzorce, zlepšení držení těla, zlepšení pohyblivosti měkkých tkání. Závěr: Tato studie byla rozdělena na 2 části, obecnou část, která pojednává o anatomii dýchacího systému a povaze onemocnění, a speciální část, která představuje průběh léčby a její účinek na zlepšení celkové pohody pacient. Během této studie aplikace fyzioterapeutických metod prokázala možnost zlepšení klinických symptomů u pacientů se syndromem antisyntetázy. Aplikace technik měkkých tkání spolu s PIR a dalšími fyzioterapeutickými technikami měla velký dopad na zlepšení držení těla, dechového stereotypu a kapacity, a nakonec na celkovou a fyzickou pohodu pacienta. Klíčová slova: Antisyntetázový syndrom, Intersticiální plicní...Author: Amineh Alkhatib Title of thesis: Case Study of Physiotherapy Treatment of a Patient with Antisynthetase Syndrome. Work placement: Institute of Rheumatology Prague Objectives: The aim of the thesis was to investigate the various physiotherapeutic techniques in improving the physical state of a 36-year-old, male patient with Interstitial lung disease related to Antisynthetase syndrome with the presence of AntiEJ, AntiRO52 and, AntiRO60 antibodies. Methods: PIR, DNS, soft tissue techniques, joint mobilization, physical exercises, IMT threshold, sensomotoric exercises. Results: Improvement in breathing capacity and breathing pattern, improvement in posture, improved mobility of soft tissues. Conclusion: This study was divided into 2 parts, the general part, which discusses the anatomy of the respiratory system and the nature of the disease, and the special part, which represents the course of the treatment and its effect on improving the general well-being of the patient. During this study, the application of physiotherapeutic methods has proved the possibility of improving the clinical symptoms for patients with Antisynthetase syndrome. Applying soft tissue techniques along with PIR and other physiotherapeutic techniques, had a great impact in improving the patient's posture, breathing...FyzioterapieFakulta tělesné výchovy a sportuFaculty of Physical Education and Spor
Case Study of Physiotherapy Treatment of a Patient with Antisynthetase Syndrome
No full textAuthor: Amineh Alkhatib Title of thesis: Case Study of Physiotherapy Treatment of a Patient with Antisynthetase Syndrome. Work placement: Institute of Rheumatology Prague Objectives: The aim of the thesis was to investigate the various physiotherapeutic techniques in improving the physical state of a 36-year-old, male patient with Interstitial lung disease related to Antisynthetase syndrome with the presence of AntiEJ, AntiRO52 and, AntiRO60 antibodies. Methods: PIR, DNS, soft tissue techniques, joint mobilization, physical exercises, IMT threshold, sensomotoric exercises. Results: Improvement in breathing capacity and breathing pattern, improvement in posture, improved mobility of soft tissues. Conclusion: This study was divided into 2 parts, the general part, which discusses the anatomy of the respiratory system and the nature of the disease, and the special part, which represents the course of the treatment and its effect on improving the general well-being of the patient. During this study, the application of physiotherapeutic methods has proved the possibility of improving the clinical symptoms for patients with Antisynthetase syndrome. Applying soft tissue techniques along with PIR and other physiotherapeutic techniques, had a great impact in improving the patient's posture, breathing..
Predicting Atomic Structure of Multi-metallic Nanoparticles with Physics-based Machine Learning
No full textMetal nanoparticles (NPs) find tremendous application in various fields, including
catalysis, biomedicine, and electronics, due to their unique physicochemical properties arising
from their morphology (i.e., size and shape) and composition. The chemical ordering of NPs,
consisting of more than one metal, is crucial for optimizing their application performance,
including stability. Traditionally, Density Functional Theory (DFT) is used to investigate NP
stability, but it is computationally expensive, limited to small systems and cannot be applied to
multi-metallic NPs where the materials space is enormous. To address this, recent efforts coupled
a physics-based model (Bond-Centric Model, BCM) with a developed genetic algorithm (GA) to
optimize the chemical ordering of NPs leading to minimum (most exothermic) cohesive energies
(CEs). Central to this approach is the calculation of weighting factors that scale the monometallic
bond strength to describe that of the bimetallic bond. Herein, we perform a critical analysis and
set some rules on how to apply these methods for rapid and accurate nanomaterials predictions.
Specifically, we optimized the chemical ordering of 2869-atom cuboctahedron NPs across 15
different bimetallic combinations. In comparison with both experimental and computational
results, our findings indicate that the use of small metal dimers for the calculation of the weighting
factors leads to accurate and computationally efficient chemical ordering and stability predictions
for a wide range of NP compositions. We further extended our investigation to 6 trimetallic NPs
with a tremendously large materials space, testing our model’s capability to predict chemical
ordering patterns in multi-metallic systems and demonstrating its power as a rapid and accurate computational method. This methodology can facilitate the design of thermodynamically stable
multi-metallic NPs and predict the distribution of different metal atoms from the core to the
surface, which is central to any nanotechnological application
Artificial Intelligence
No full textThe manuscript of the book “Artificial Intelligence” for students of the Faculty of Informatics Engineering is considered a study reference for an important foundational course in informatics engineering. This book aims to:
1- Introducing the student to knowledge modeling methods so that trial and inference processes can be carried out on this knowledge to generate new knowledge.
2- Using logical betting mechanisms
3- A review of some ways to include and treat non-knowledge in knowledge
4- Studying intelligent search algorithms
5- Learn games algorithms
This book consists of five chapters:
1- Calculate Hypotheses
2- Account of Attributions
3- Dealing with Uncertainty
4- Intelligent Search Algorithms
5- Games AlgorithmsAl-Sham Private University, Syri
Barriers of implementing e-Health in Developing Countries: A Case Study: Syria
No full textAdvancements in technology have significantly influenced members' lives, like e-health implementation, which brings numerous benefits to the healthcare sector, including cost reduction. However, developing countries are facing challenges in adopting e-health solutions, including electronic health record (EHR) systems. This research conducts a meta-analysis, focusing on the sustainable adoption of e-health in developing countries, using Syria as a case study. The study analyzes 20 peer-reviewed articles collected from online databases. The thematic analysis identifies four interconnected themes: social, economic, cultural, and organizational factors influencing the successful adoption of e-health in developing countries like Syria. Understanding these factors is vital for devising effective strategies to promote the sustainable integration of e-Health technologies in the healthcare systems of developing nations
Conceptualizing Discussions on the Dark Web: An Empirical Topic Modeling Approach
No full textSocial networks on the Internet have become a home that attracts all types of human thinking to exchange knowledge and ideas and share businesses. On the other hand, it has also become a source for researchers to analyze this knowledge and frame it in patterns that define types of thoughts circulating on these networks and representing the communities around them. In particular, some social networks on the Dark Web attract a special kind of thinking centered around the malicious and illegal activities disseminated on websites and marketplaces on the Dark Web. These networks involve discussions to exchange and discourse information, tips, and advice on performing such business. Studying social networks on the Dark Web is still in its infancy. In this paper, we present a methodology for analyzing the content of social networks on the Dark Web using topic modeling methods. We demonstrate the needed stages for the topic modeling process, beginning with data preprocessing and feature extraction to topic modeling algorithms. We utilize and discuss the following four topic models: LDA, CTM, PAM, and PTM. We discuss the following four topic coherence measures as evaluation metrics: UMass, UCI, CNPMI, and CV, demonstrating the selection of the best number of topics for each model according to the most coherent produced topics. Furthermore, we discuss the limitations, challenges, and future work. Our proposed approach highlights the ability to discover the latent thematic patterns in conversations and messages in the common language used in social networks on the Dark Web, constructing topics as groups of terms and their associations. This paper provides researchers with a leading methodology for analyzing thought patterns on the Dark Web
Threats from the Dark: A Review over Dark Web Investigation Research for Cyber Threat Intelligence
No full textFrom proactive detection of cyberattacks to the identification of key actors, analyzing contents of the Dark Web plays a significant role in deterring cybercrimes and understanding criminal minds. Researching in the Dark Web proved to be an essential step in fighting cybercrime, whether with a standalone investigation of the Dark Web solely or an integrated one that includes contents from the Surface Web and the Deep Web. In this review, we probe recent studies in the field of analyzing Dark Web content for Cyber Threat Intelligence (CTI), introducing a comprehensive analysis of their techniques, methods, tools, approaches, and results, and discussing their possible limitations. In this review, we demonstrate the significance of studying the contents of different platforms on the Dark Web, leading new researchers through state-of-the-art methodologies. Furthermore, we discuss the technical challenges, ethical considerations, and future directions in the domain
