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Mohammed Ali Mohamed Ahmed ALI(Mohammed Ali Mohamed Ahmed ALI ),Ahmed Saied Rahama ABDALLAH(Ahmed Saied Rahama ABDALLAH ),SalimAhmed Mohamed AlSHEHRI(SalimAhmed Mohamed AlSHEHRI ) 한국유통과학회 2023 The Journal of Asian Finance, Economics and Busine Vol.10 No.2
This research aims to identify the role that small and medium enterprises (SMEs) can play in achieving the economic goals of the vision of Saudi Arabia 2030. The study relied on descriptive analysis, designing a standard model, and analyzing it using the Eviews9 program. The study also adopted the questionnaire as a tool for data collection. The study area covered Alkharj and Hawtat Bani Tamim governorates. The sample size of the study was 142 participants. The study’s results confirmed the existence of a significant impact of changes in independent variables (X1, X2, X3, X4), which are (GDP, non-oil exports, number of employees, and public revenues), respectively. The dependent variable (Y) represents the number of small and medium-sized businesses in the Kingdom of Saudi Arabia. Additionally, it was found that 61.3% of small and medium-sized enterprises in the governorates of Al-Kharj and Hawtat Bani Tamim operate in the commercial sector. Most study participants concur that SMEs significantly lowered the unemployment rate and helped boost the GDP rate in the Kingdom of Saudi Arabia. The obstacles and difficulties facing the establishment of these enterprises were financial problems, marketing problems, and corporate monopoly. Furthermore, most of the small and medium l enterprises faced financing problems.
Emotion Recognition of Low Resource (Sindhi) Language Using Machine Learning
Ahmed, Tanveer,Memon, Sajjad Ali,Hussain, Saqib,Tanwani, Amer,Sadat, Ahmed International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.8
One of the most active areas of research in the field of affective computing and signal processing is emotion recognition. This paper proposes emotion recognition of low-resource (Sindhi) language. This work's uniqueness is that it examines the emotions of languages for which there is currently no publicly accessible dataset. The proposed effort has provided a dataset named MAVDESS (Mehran Audio-Visual Dataset Mehran Audio-Visual Database of Emotional Speech in Sindhi) for the academic community of a significant Sindhi language that is mainly spoken in Pakistan; however, no generic data for such languages is accessible in machine learning except few. Furthermore, the analysis of various emotions of Sindhi language in MAVDESS has been carried out to annotate the emotions using line features such as pitch, volume, and base, as well as toolkits such as OpenSmile, Scikit-Learn, and some important classification schemes such as LR, SVC, DT, and KNN, which will be further classified and computed to the machine via Python language for training a machine. Meanwhile, the dataset can be accessed in future via https://doi.org/10.5281/zenodo.5213073.
Recent Progress on the Development of Antibiotics from the Genus Micromonospora
Ali Zineddine Boumehira,Hesham Ali El-Enshasy,Hocine Hacene,Elsayed Ahmed Elsayed,Ramlan Aziz,Enoch Y. Park 한국생물공학회 2016 Biotechnology and Bioprocess Engineering Vol.21 No.2
The emergence of a large number of antimicrobialresistant organisms is a cause for concern. Nature is historically the source of drugs; indeed a considerable number of drugs have been developed from microorganisms, and are now used daily in the treatment of infectious diseases. However, the introduction to the pharmaceutical market of new therapeutic molecules has decreased during the last two decades. In this review, the genus Micromonospora is proposed as a biofactory for production of new antibiotics. The genus Micromonospora has been investigated extensively and more than 100 antibiotics have been isolated from diverse Micromonospora strains. In addition, recent developments in analytical, biological and bioinformatics screening tools used in the discovery of new therapeutic compounds are described. It may be possible to revive formerly used antibiotics produced by Micromonospora and study of this genus may facilitate discovery of novel bioactive molecules.
Ahmed, Ali International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.6
Recently, pre-trained convolutional neural network CNNs have been widely used and applied for medical image classification. These models can utilised in three different ways, for feature extraction, to use the architecture of the pre-trained model and to train some layers while freezing others. In this study, the ResNet18 pre-trained CNNs model is used for feature extraction, followed by the support vector machine for multiple classes to classify medical images from multi-classes, which is used as the main classifier. Our proposed classification method was implemented on Kvasir and PH2 medical image datasets. The overall accuracy was 93.38% and 91.67% for Kvasir and PH2 datasets, respectively. The classification results and performance of our proposed method outperformed some of the related similar methods in this area of study.
ISI and PAPR Immune IEEE 802.11p Channels Based on Single-Carrier Frequency Domain Equalizer
( Ahmed Ali ),( Wang Dong ),( Li Renfa ),( Esraa Eldesouky ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.11
Doppler Effect is a prominent obstacle in vehicular networks, which dramatically increase the Bit-Error-Rate (BER). This problem is accompanied with the presence of the Orthogonal Frequency Division Multiplexing (OFDM) systems in which the Doppler shift interrupts the subcarriers orthogonality. Additionally, Inter-Symbol Interference (ISI) and high Peak-to-Average Power Ratio (PAPR) are likely to occur which corrupt the received signal. In this paper, the single-carrier combined with the frequency domain equalizer (SC-FDE) is utilized as an alternative to the OFDM over the IEEE 802.11p uplink vehicular channels. The Minimum Mean Squared Error (MMSE) and Zero-Forcing (ZF) are employed in order to study the impact of these equalization techniques along with the SC-FDE on the propagation medium. In addition, we aim to enhance the BER, improve the transmitted signal quality and achieve ISI and PAPR mitigation. The proposed schemes are investigated and we found that the MMSE outperforms the ZF equalization under different Doppler shift effects and modulations.
Ali Ahmed Al Qarni,Faris Elbahi Joatar,Nagalla Das,Mohamed Awad,Mona Eltayeb,Ahmed Gasim Al-Zubair,Muhalab E. Ali,Abdulaziz Al Masaud,Abdirashid M. Shire,Khalid Gumaa,Hayder A. Giha 대한내분비학회 2017 Endocrinology and metabolism Vol.32 No.2
Background: Although the exact mechanism of insulin resistance (IR) has not yet been established, IR is the hallmark characteristic of type 2 diabetes mellitus (T2DM). The aim of this study was to examine the relationship between plasma ghrelin levels and IR in Saudi subjects with T2DM. Methods: Patients with T2DM (n=107, cases) and non-diabetic apparently healthy subjects (n=101, controls) from Saudi Arabia were included in this study. The biochemical profiles and plasma insulin levels of all subjects were analyzed, and IR was estimated using the homeostatic model assessment of insulin resistance (HOMA-IR) index. Active ghrelin levels in plasma were measured using the radioimmunoassay technique. Results: Only 46.7% (50 of 107) of the T2DM subjects had IR, including 26% (28 of 107) with severe IR (HOMA-IR ≥5), while 5.9% (six of 101) of the controls had moderate IR (3≤ HOMA-IR <5). HOMA-IR values were not associated with age, disease duration, or gender. Importantly, T2DM itself and the co-occurrence of IR with T2DM were significantly associated with low plasma ghrelin levels. However, ghrelin levels were inversely correlated with the HOMA-IR index, body weight, and fasting plasma insulin levels, mainly in the control subjects, which was indicative of the breakdown of metabolic homeostasis in T2DM. Conclusion: The prevalence of IR was relatively low, and IR may be inversely associated with plasma ghrelin levels among Saudi patients with T2DM.
Lateral Conduction of Preservative Solution in Larix kaempferi Woods
Ahmed, Sheikh Ali,Park, Jeong-Hwan,Chun, Su-Kyoung Korea Furniture Society 2008 한국가구학회지 Vol.19 No.2
An experiment was conducted to observe the 5% CCFZ solution penetration depth through ray parenchyma and ray tracheid of Larix kapempferi. Moisture content was adjusted 28% for both sapwood and heartwood. Even though the moisture content was same, heartwood was 1.3 times less permeable than sapwood and the difference was found statistically significant. Due to anatomical differences between ray parenchyma and ray tracheid, ray parenchyma was about 1.3 times more permeable than ray tracheid. Penetration speed was high initially and it decreased rapidly in course of time.
Ahmed Gaffer Hegazi,Fayez Mohammed Al Guthami,Ahmed Faiz Al Gethami,Hassan Ali El Fadaly 대한약침학회 2017 Journal of pharmacopuncture Vol.20 No.2
Objectives: The Toxoplasma gondii (T. gondii) is an intracellular opportunistic protozoan parasite that infects approximately one-third of the human population worldwide. Honey has long been used for treatment of many diseases in folk medicine. Honey has exhibited significant anthelmintic, nematicidal and anti-protozoal activities. This study was conducted to investigate the immunological patterns in rats infected with T. gondii who were treated orally with supplemented 15% Capparis spinosa honey (Saudi Arabia) for a period of 28 days. Methods: Immunoglobulin M, immunoglobulin G, and cytokines were detected by using enzyme-linked immunosorbent assays (ELISAs). In addition, the mortality and the morbidity rates were assessed. Results: Oral administration of Capparis spinosa honey as a natural food additive was experimentally shown to increase the antibody titer; furthermore, compared with the rats in the control group, the levels of the sera cytokines (IFN-γ, IL-1 and IL-6) were consistently higher at day 7 post-infection in the infected rats treated with oral supplements of Capparis spinosa honey. Conclusion: Orally administered supplements of Capparis spinosa honey increased both the antibody titer and the cytokines (IFN-γ, IL-1 and IL-6) levels in rats infected with T. gondii.
Comparison of Some Anatomical Characteristics between Eunsasi Poplar and Konara Oak
Ahmed, Sheikh Ali,Kim, Ae-Ju,Chong, Song-Ho,Chun, Su-Kyoung Korea Furniture Society 2010 한국가구학회지 Vol.21 No.1
This study was carried out to identify the differences of some macro and microanatomical features between Eunsasi poplar (Populus tomentiglandulosa T. Lee) and Konara oak (Quercus serrata Thunb.). Anatomical features such as vessel and fiber diameter, cross sectional area of ray parenchyma and endwall pit aperture diameter in ray parenchyma were compared. Differences of anatomical features between two species were found statistically significant. Earlywood vessel diameter in poplar and oak increased from pith to bark while it was found almost stable in latewood. Fiber diameter in poplar was higher than oak fiber. Ray area and the pit aperture diameter in endwall of ray parenchyma were found higher in oak than those in poplar.