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Consideration of Persuasive Technology on Users Acceptance of E-Commerce： Exploring Perceived Persuasiveness

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通讯和计算机（中英文版） 2014年第2期11卷 133-142页

作者： Muna M. alhammad Stephen R. Gulliver Informatics Research Centre Henley Business School (Whiteknights) University of Reading Reading RG6 6UD UK

Securing Transmitted Color Images Using Zero Watermarking and Advanced Encryption Standard on Raspberry Pi

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Computer Systems Science & Engineering 2023年第11期47卷 1967-1986页

作者： Doaa Sami Khafaga Sarah M.alhammad Amal Magdi Osama ElKomy Nabil ALashin Khalid M.Hosny Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology Zagazig UniversityZagazig44519Egypt

Image authentication techniques have recently received a lot of attention for protecting images against unauthorized *** to the wide use of the Internet nowadays,the need to ensure data integrity and authentication *** techniques,such as watermarking and encryption,are used for securing images transmitted via the *** majority of watermarking systems are PC-based,but they are not very *** watermarking methods need to be developed to accommodate real-time applications and provide *** paper presents hybrid data security techniques using a zero watermarking method to provide copyright protection for the transmitted color images using multi-channel orthogonal Legendre Fourier moments of fractional orders(MFrLFMs)and the advanced encryption standard(AES)algorithm on a low-cost Raspberry *** order to increase embedding robustness,the watermark picture is scrambled using the Arnold *** watermarking is implemented on the Raspberry Pi to produce a real-time ownership verification *** sending the ownership verification key and the original image to the monitoring station,we can encrypt the transmitted data with AES for additional security and hide any viewable *** receiver next verifies the received image’s integrity to confirm its authenticity and that it has not been tampered *** assessed the suggested algorithm’s resistance to many *** suggested algorithm provides a reasonable degree of robustness while still being *** proposed method provides improved bit error rate(BER)and normalized correlation(NC)values compared to previous zero watermarking *** performance analysis is performed to demonstrate its *** a 256×256 image size,it takes only 2 s to apply the zero-watermark algorithm on the Raspberry Pi.

关键词： Zero watermarking Raspberry Pi advanced encryption standard

Evaluation of Plant Densities and Various Irrigation Regimes of Sorghum (Sorghum bicolor L.) under Low Water Supply

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Journal of Water Resource and Protection 2016年第1期8卷 1-11页

作者： Ali A. Alderfasi Mostafa M. Selim Bushra A. alhammad Department of Plant Production Faculty of Food and Agriculture Science King Saud University Riyadh Saudi Arabia Faculty of Sciences and Humanities Salman Bin Abdulaziz University Alkharj Saudi Arabia

Drought stress, during growth season along with plant density, is an important problem that needs attention. In order to investigate the influence of both factors in increasing the water use efficiency, field experiments were laid out in split-plot design at Agriculture Research Station, Collage of Food and Agriculture Sciences, King Saud University, to investigate the effects of irrigation intervals viz., irrigation every (6, 9 and 12 days) under different plant densities i.e., (6, 8 and 10 plants/m2) on growth, yield and yield component parameters as well as grain quality of sorghum local variety (Gizani). Results revealed that almost all growth, yield and yield component parameters were significantly influenced by both factors as well as their interaction. Chemical composition of seeds, leaf proline content and WUE were also considered. Severe drought stress condition caused gradual decrease in most of the growth characters as compared to watered treatment and reflected in decreasing yield and yield component characters. Increasing plant densities led to raise biomass production and seed yield per unit area and not able to compensated the low number and weight of grains per panicle. Contrary, low plant density, under adequate irrigation conditions, can be compensated by a high number of grains per panicle and high weight of the grain. Maximum seed yield per hectare was recorded by the interactional effects of most watered treatments (irrigation every 6 days) and plant density of 10 plants per square meter.

关键词： Sorghum Plant Density Plant Population Irrigation Water Use Efficiency Drought Stress

Fast and Accurate Detection of Masked Faces Using CNNs and LBPs

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Computer Systems Science & Engineering 2023年第12期47卷 2939-2952页

作者： Sarah M.alhammad Doaa Sami Khafaga Aya Y.Hamed Osama El-Koumy Ehab R.Mohamed Khalid M.Hosny Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Computer Science Department Sinai UniversityArishNorth SinaiEgypt Department of Information Technology Faculty of Computers and InformaticsZagazig UniversityZagazigEgypt

Face mask detection has several applications,including real-time surveillance,biometrics,*** face masks is also helpful for crowd control and ensuring people wear them *** monitoring personnel,it is impossible to ensure that people wear face masks;automated systems are a much superior option for face mask detection and *** paper introduces a simple and efficient approach for masked face *** architecture of the proposed approach is very straightforward;it combines deep learning and local binary patterns to extract features and classify themasmasked or *** proposed systemrequires hardware withminimal power consumption compared to state-of-the-art deep learning *** proposed system maintains two *** first,this work extracted the local features of an image by using a local binary pattern descriptor,and then we used deep learning to extract global *** proposed approach has achieved excellent accuracy and high *** performance of the proposed method was tested on three benchmark datasets:the realworld masked faces dataset(RMFD),the simulated masked faces dataset(SMFD),and labeled faces in the wild(LFW).Performancemetrics for the proposed technique weremeasured in terms of accuracy,precision,recall,and *** indicated the efficiency of the proposed technique,providing accuracies of 99.86%,99.98%,and 100%for RMFD,SMFD,and LFW,***,the proposed method outperformed state-of-the-art deep learning methods in the recent bibliography for the same problem under study and on the same evaluation datasets.

关键词： Convolutional neural networks face mask detection local binary patterns deep learning computer vision social protection Keras OpenCV TensorFlow Viola-Jones

Salinity Stress in Wheat:Effects,Mechanisms and Management Strategies

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Phyton-International Journal of Experimental Botany 2022年第4期91卷 667-694页

作者： Mahmoud F.Seleiman Muhammad Talha Aslam Bushra Ahmed alhammad MuhammadUmair Hassan Rizwan Maqbool Muhammad Umer Chattha Imran Khan Harun Ireri Gitari Omer S.Uslu Rana Roy Martin Leonardo Battaglia Plant Production Department College of Food and Agriculture SciencesKing Saud UniversityRiyadh11451Saudi Arabia Department of Crop Sciences Faculty of AgricultureMenoufia UniversityShibin El-kom32514Egypt Department of Agronomy University of AgricultureFaisalabad38040Pakistan Biology Department College of Science and Humanity StudiesPrince Sattam Bin Abdulaziz UniversityRiyadh11942Saudi Arabia Research Center on Ecological Sciences Jiangxi Agricultural UniversityNanchang330045China Department of Agricultural Sciences and Technology School of Agriculture and Enterprise DevelopmentKenyatta UniversityNairobi00100Kenya Department of Field Crops Faculty of AgricultureUniversity of Sutcu ImamKahramanmaras46040Turkey Department of Agroforestry&Environmental Science Faculty of AgricultureSylhet Agricultural UniversitySylhet3100Bangladesh Department of Animal Sciences Cornell UniversityIthaca14850USA

Salinity stress is a major threat to global food production and its intensity is continuously increasing because of anthropogenic *** is a staple food and a source of carbohydrates and calories for the majority of people across the ***,wheat productivity is adversely affected by salt stress,which is associated with a reduction in germination,growth,altered reproductive behavior and enzymatic activity,disrupted photosynthesis,hormonal imbalance,oxidative stress,and yield ***,a better understanding of wheat(plant)behavior to salinity stress has essential implications to devise counter and alleviation measures to cope with salt *** approaches including the selection of suitable cultivars,conventional breeding,and molecular techniques can be used for facing salt stress ***,these techniques are tedious,costly,and *** practices are still helpful to improve the wheat performance under salinity *** of arbuscular mycorrhizal fungi,plant growth-promoting rhizobacteria,and exogenous application of phytohormones,seed priming,and nutrient management are important tools to improve wheat performance under salinity *** this paper,we discussed the effect of salinity stress on the wheat crop,possible mechanisms to deal with salinity stress,and management options to improve wheat performance under salinity conditions.

关键词： Breeding techniques oxidative stress photosynthesis phyto-hormones salinity stress wheat

Mental health status among COVID-19 patients survivors of critical illness in Saudi Arabia:A 6-month follow-up questionnaire study

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World Journal of Clinical Cases 2024年第15期12卷 2560-2567页

作者： Abdullah M alhammad Namareq F Aldardeer Abdulaziz Alqahtani Mohammad H Aljawadi Bushra Alnefaie Raghad Alonazi Mansour Almuqbil Abdulrahman Alsaadon Rakan M Alqahtani Rashid Alballaa Bader Alshehri Mohammed I Alarifi Fahad D Alosaimi Department of Clinical Pharmacy College of PharmacyKing Saud UniversityRiyadh 12372Saudi Arabia Department of Pharmacy Services King Faisal Specialist Hospital and Research CentreJeddah 21499Saudi Arabia Corporate Department of Pharmacy Services King Saud University Medical CityRiyadh 12372Saudi Arabia College of Pharmacy King Saud UniversityRiyadh 12372Saudi Arabia Department of Critical Care Medicine College of MedicineKing Saud UniversityRiyadh 12372Saudi Arabia Department of Psychiatry College of MedicineKing Saud UniversityRiyadh 12372Saudi Arabia

BACKGROUND Psychological assessment after intensive care unit(ICU)discharge is increasingly used to assess patients'cognitive and psychological ***,few studies have examined those who recovered from coronavirus disease 2019(COVID-19).There is a paucity of data from the Middle East assessing the post-ICU discharge mental health status of patients who had *** To evaluate anxiety and depression among patients who had severe *** This is a prospective single-center follow-up questionnaire-based study of adults who were admitted to the ICU or under ICU consultation for>24 h for *** patients were contacted via *** patient’s anxiety and depression six months after ICU discharge were assessed using the Hospital Anxiety and Depression Scale(HADS).The primary outcome was the mean HADS *** secondary outcomes were risk factors of anxiety and/or *** Patients who were admitted to the ICU because of COVID-19 were screened(n=518).Of these,48 completed the *** mean age was 56.3±17.2 *** patients(62.5%)were *** main comorbidities were endocrine(n=24,50%)and cardiovascular(n=21,43.8%)*** mean overall HADS score for anxiety and depression at 6 months post-ICU discharge was 11.4(SD±8.5).A HADS score of>7 for anxiety and depression was detected in 15 patients(30%)and 18 patients(36%),*** from the multivariable ordered logistic regression demonstrated that vasopressor use was associated with the development of anxiety and depression[odds ratio(OR)39.06,95% confidence interval:1.309-1165.8;P<0.05].CONCLUSION Six months after ICU discharge,30% of patients who had COVID-19 demonstrated a HADS score that confirmed anxiety and *** compare the psychological status of patients following an ICU admission(with vs without COVID-19),further studies are warranted.

关键词： COVID-19 Critically ill Anxiety Depression HADS Saudi Arabia