Vol. 2 No. 2 (2024): Sana'a University Journal of Applied Sciences and Technology | Sana'a University Journal of Applied Sciences and Technology

Solitary waves and double layers of dust-acoustic waves propagating in a non-ideal dusty plasma

Mahmood A. H. Khaled, Kawkab A. M. Alsa'adi, Ibrahim G. H Loqman

107-115

2024-05-05

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DOI: 10.59628/jast.v2i2.938

Synthesis and Characterization of (CdO- CuOCo3O4) Mixed Metal Oxides Nanocomposite

Shadha Nasser Aziz, A.M. Abdulwahab, Thana Shuga Aldeen

116-123

2024-05-05

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DOI: 10.59628/jast.v2i2.874

The contour plots of the normalized radial intensity

Propagation intensity and phase distribution of a Partially Coherent Lorentz–Gauss Vortex Beam in a Gradient-Index Medium

Mohammed S. Qusailah, Abdu A. Alkelly, Wafa’a A. Al-Bahry

124-133

2024-05-05

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DOI: 10.59628/jast.v2i2.897

Factors Influencing the Adoption of Mobile Banking Applications in Yemen Using an Extended Technology Acceptance Model

Ibrahim Ahmed Al-Baltah, Sultan Yahya Al-Sultan, Marwa Abdulrahman Al-hadi, Ammar Thabit Zahary

134-146

2024-05-05

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DOI: 10.59628/jast.v2i2.890

Abstract

In the Yemeni environment, the adoption rate of Mobile Banking Applications (MBA) is lower than expected by banks, and there is a lack of studies that have examined MBA adoption in Yemen. The rapid development in wireless technology and the widespread use of cell phones have motivated banks to invest their budget in building Mobile Banking Applications (MBA). However, the adoption rate of MBA in Yemen falls short of banks’ expectations, and there is a scarcity of studies investigating the factors related to MBA adoption. Therefore, this study aims to extend the current understanding of MBA adoption by proposing a theoretical model to investigate the factors influencing Yemeni customers’ adoption of MBA. The proposed model extends the Technology Acceptance Model (TAM). Data were collected through a survey questionnaire completed by 473 participants. This study empirically concludes that individuals’ intention to adopt MBA is significantly and positively influencedby perceived usefulness, perceived ease of use, perceived value-added services, perceived self-efficacy, social influence, financial cost, perceived system non-availability risk, perceived privacy risk, and perceived security risk.

Keywords

Mobile Banking Applications TAM Perceived Benefits Perceived Sacrifices Behavior Intention to Use Structured Equation Modeling (SEM)

A Promising Smart Healthcare Monitoring Model based on Internet of Things and Deep Learning Techniques

Marwa Abdulrahman Al-Hadi, Ghaleb Hamoud Al-Gaphari, Ibrahim Ahmed Al-Baltah, Francisco Bacallao Julian

147-153

2024-05-05

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DOI: 10.59628/jast.v2i2.811

Abstract

Using Internet of Things (IoT) and deep learning techniques in the healthcare sector has gained significant momentum in recent years. These technologies have the potential to transform traditional healthcare monitoring systems into real-time data collection, analysis, and decision-making capabilities. While several models have been developed to assist people with heart diseases, numerous obstacles still impede the effectiveness of the current solutions, such as power consumption, latency, accuracy, and scalability. Therefore, this study aims to develop a promising smart healthcare monitoring model that integrates IoT and deep learning techniques for saving patient lives. In addition, it clarifies the current research gap. The methodology used in this study was a literature review, which was conducted to identify relevant studies on IoT and deep learning applications in healthcare and find the gaps in each. This model consists of three main components: data acquisition through IoT devices, data processing using deep learning algorithms, and decision-making based on analyzed data. Moreover, it showed an unstable rate of accuracy in the current studies, which were taken from 2021 to 2023. In the future, our proposed smart healthcare monitoring model will solve that gap, which is already available in the current studies, and that will be proven using real-time materials such as Arduino and heart disease sensors.

Keywords

IoT Deep learningy Prediction Healthcare Smart healthcare monitoring model

Antioxidant and antimicrobial of three extracts of Caralluma deflersiana Laver

Bushra M. al-attab, Maher A. Almaqtari, Ahmed Yahya Mubarak

154-157

2024-05-05

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DOI: 10.59628/jast.v2i2.862

IP and ICN Networking in D2D_IoT Communications: A Comparative Study

Mansoor N. Ali, Ammar T. Zahary, Manal A. Areqi

158-167

2024-05-05

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DOI: 10.59628/jast.v2i2.940

Normalized intensity and the phase distribution

Carbapenem-Resistant Klebsiella pneumoniae in Yemeni Patients: Prevalence, Phenotypes, and Resistance Profile to Last-Resort Antibiotics

Abdulrahman A. Humaid, Maher Ali Al-maqtari, Abdulkarim Kassem Alzomor, Anes A.M. Thabit

168-174

2024-05-05

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DOI: 10.59628/jast.v2i2.838

Abstract

The spread of carbapenem-resistant Klebsiella pneumoniae (CRKp), which is one of the top pathogens in the WHO list of antibiotic-resistant bacteria, is a true threat to human life. This study aimed to determine the prevalence, carbapenemase phenotypes, and resistance to last-resort antibiotics of CRKp isolated from clinical specimens of inpatients and outpatients in 3 health-service facilities in Sana‘a-Yemen between December 2020 and November 2022. The carbapenemases produced by these isolates were phenotyped by mCIM and eCIM, and the susceptibility of the isolates to last-resort antibiotics was determined using the disk diffusion method. A total of 140 CRKp isolates were recovered in this study, mostly from urine specimens (35 %), from inpatients hospitalized in the gynecology ward (30%) and intensive care units (22.9 %). Differences in CRKp prevalence were insignificant between females and males and between age ranges but significant between urban and rural residents. Moreover, 75.7% of CRKp isolates were producers of metallo-β-lactamases and 81.4, 78.6 %, 17.1%, 15.7 %, and 7.1% of these isolates were resistant to aztreonam, ceftazidime+ avibactam, colistin, fosfomycin, and tigecycline, respectively. In conclusion, there is a considerable prevalence of CRKp isolates among Yemeni patients. These isolates are mostly metallo β-lactamase producers and have remarkable resistance to most lastresort antibiotics. Accordingly, there is a need to establish and employ urgent control and prevention measures to diminish the spread of CRKp and limit its emergent resistance to last-resort antibiotics in our community.

Keywords

Carbapenem-Resistant Klebsiella Pneumoniae Prevalence Yemen Metallo-β-lactamases Last-Resort Antibiotics

اختيار أولي لمواقع سدود باستخدام الاستشعار عن بُعد، نُظم المعلومات الجغرافية وعملية التحليل الهرمي في مديرية الحصين، محافظة الضالع، اليمن

Ibrahim Al-Akhaly, Badran

175-196

2024-05-05

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DOI: 10.59628/jast.v2i2.886

Abstract

هدفت هذه الدراسة لاختيار مواقع محتملة لبناء السدود بمديرية الحصين، محافظة الضالع، اليمن، باستخدام الاستشعار عن ُبعد، ُنظم المعلومات الجغرافية، وعملية التحليل الهرمي. ُبنِيت قاعدة بيانات للمديرية، ارتفاعاتها تتراوح ما بين 1076و2385م، و % 35من أراضيها منبسطة. المعدل السنوي لهطول الأمطار يتراوح ما بين 227و404مم. صخورها متباينة. مواقع السدود المحتملة ُحددت ِاعتماًدا على المعايير العامة لمنظمة الفاو، المعايير الواردة في الدراسات السابقة، ومعايير مقترحة من خبراء ومختصين بهذا المجال، ُحللِت تِلك المعايير إحصائًيا واُعتمدت سبعة منها، ُعملت خرائط للمعايير المختارة، ثم أُعيد تصنيفها بنا ًء على درجة الملائمة المكانية كمواقع لسدود محتملة بمقياس ُموَّحد، بعد دمج طبقات كل المعايير المعاد تصنيفها والمضروبة بأوزانها النسبية توصلنا لخريطة ملاءمة مكانية لمواقع السدود المحتملة ُوصَّنفَت لخمس فئات؛ وتَبين أن %0.14من مساحة المديرية عالية الملائمة، و %31.72 ملائِمة، %62.30متوسطة الملائمة، و %5.71ضعيفة الملائمة، و %0.13 غير ملائِمة. نوصي بالمواقع عالية الملائمة الواقعة في سيلة أوفينة، وادي الذحلة، وشكع.

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Keywords

التحليل الهرمي السدود نُظم المعلومات الجغرافية الاستشعار عن بُعد اليمن

Normalized intensity distribution of the PCGSMV

Intensity distribution of the partially coherent Gaussian Schell vortex beam diffracted by classical axicon

Shukri A. M. kaid, Hatim O. Al-Nadary, Mohammad S. Qusailah , Abdu A. Alkelly

197-204

2024-05-05

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DOI: 10.59628/jast.v2i2.899

Axiomatic of Neutrosophic Groups

Adel Mohammed Al-Odhari

205-214

2024-05-05

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DOI: 10.59628/jast.v2i2.793

Sana'a University Journal of Applied Sciences and Technology

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