Monitoring Changes and Soil Characterization in Mangrove Forests of the United Arab Emirates Using the Canonical Correlation Forest Model by Multitemporal of Landsat Data

Mangrove forests are an important indicator of blue carbon storage and biodiversity and provide several benefits to the environment. This study showed the first attempt to apply the canonical correlation forest (CCF) model to classify mangroves and monitor changes in the mangrove forests of the entire region. The CCF model obtained a satisfactory accuracy with an F1 score of more than 0.90. Compared to Sentinel-2, Landsat 8 exhibited good temporal resolution with relatively little mangrove details. The resultant mangrove maps (1990–2020) were used to monitor changes in mangrove forests by applying a threshold value ranging from +1 to −1. The results showed a significant increase in the UAE mangroves over the period from 1990 to 2020. To characterize soil in mangrove forests, a set of interpolated maps for calcium carbonate, salinity concentration, nitrogen, and organic matter content was constructed. The results showed that there is a positive relationship between mangrove distribution and the calcium carbonate, nitrogen, salinity, and organic matter concentrations in the soil of the mangrove forests. Our results are of great importance to the ecological and research community. The new maps presented in this study will be a good reference and a useful source for the coastal management organization

SAR Image Denoising using MMSE Techniques

Synthetic aperture radar (SAR) provides many advantages over optical remote sensing, principally the all-weather and all-day acquisition capability. For this reason, SAR images have been exploited for many applications such as forestry, agriculture, disaster monitoring, sea/ice monitoring. However, the main limitation in SAR images is the contamination with the multiplicative speckle noise. The speckle damages the radiometric quality of SAR images and contracts the performance of information extraction techniques. Many methods have been proposed in the literature to reduce speckle noise. These methods, however, must avoid degrading the useful information in the SAR images, such as textures, local mean of backscatter, and point targets. The minimum mean square error (MMSE) techniques have been largely applied in SAR image speckle denoising. The objective of this chapter is to review and give new insights into the MMSE denoising of SAR images. In particular, the performances of three MMSE-based techniques which are the commonly applied Lee sigma filter and the newly introduced iterative MMSE (IMMSE) filter, and the infinite number of looks prediction (INLP) filter are studied

Um modelo de monitoração de pacientes na UTI usando micro servidor web

Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Ciência da Computação

THE PRACTICE AND PERCEPTION OF HOSPITAL PHARMACISTS TOWARDS ERRORS IN DISPENSING MEDICINES AND THEIR POSSIBLE CAUSES IN OMDURMAN MILITARY HOSPITAL, SUDAN

Introduction: Hospital pharmacies dispensing errors are common and investigating them for identifying factors involved in it and developing strategies to minimize their occurrence. Errors can arise at any stage during the dispensing process. Dispensing errors were identified by checking the prescribed drug against the dispensed medication. Materials and Methods: A cross sectional study involving 100 pharmacists who were administered a survey research designed to assess pharmacists' attitudes, factors associated with DEs and involvement in DE, conducted between 1st January 2019 and 1st February 2019 at Omdurman Military Hospital (OMH) Pharmacies. A data analyzed by Statistical Package for Social Sciences software version 21. Results: 55% from the pharmacists in the study have poor attitude toward dispensing errors. The most common factors influencing dispensing errors as stated by participants were lack of therapeutic training (stated by 81%), 62% from the participants stated that workload and time pressure are causes of dispensing errors in area of factors associated with the work environment. 48% from the pharmacists in the study committing dispensing errors, 41.7% from them committed dispensing errors once while 23% committed fourth or more. Conclusion: With the multiplicity of risk factors in our environment, there is urgent need to reinforce the training of pharmacists and the provision of resource materials and enabling work environment aimed at minimizing medication errors.                                  Peer Review History: Received: 8 September 2020; Revised: 7 October; Accepted: 20 October, Available online: 15 November 2020 Academic Editor: Dr. Tamer Elhabibi, Suez Canal University, Egypt, [email protected] UJPR follows the most transparent and toughest ‘Advanced OPEN peer review’ system. The identity of the authors and, reviewers will be known to each other. This transparent process will help to eradicate any possible malicious/purposeful interference by any person (publishing staff, reviewer, editor, author, etc) during peer review. As a result of this unique system, all reviewers will get their due recognition and respect, once their names are published in the papers. We expect that, by publishing peer review reports with published papers, will be helpful to many authors for drafting their article according to the specifications. Auhors will remove any error of their article and they will improve their article(s) according to the previous reports displayed with published article(s). The main purpose of it is ‘to improve the quality of a candidate manuscript’. Our reviewers check the ‘strength and weakness of a manuscript honestly’. There will increase in the perfection, and transparency. Received file:                Reviewer's Comments: Average Peer review marks at initial stage: 5.0/10 Average Peer review marks at publication stage: 7.0/10 Reviewer(s) detail: Prof. Dr. Hassan A.H. Al-Shamahy, Sana'a University, Yemen, [email protected]   Dr. A.A. Mgbahurike, University of Port Harcourt, Nigeria, [email protected] Similar Articles: AWARENESS OF PHARMACISTS TOWARDS ASPARTAME SIDE EFFECTS IN KHARTOUM CITY, SUDA

Spatiotemporal Mapping and Monitoring of Mangrove Forests Changes From 1990 to 2019 in the Northern Emirates, UAE Using Random Forest, Kernel Logistic Regression and Naive Bayes Tree Models

© Copyright © 2020 Elmahdy, Ali, Mohamed, Howari, Abouleish and Simonet. Mangrove forests are acting as a green lung for the coastal cities of the United Arab Emirates, providing a habitat for wildlife, storing blue carbon in sediment and protecting shoreline. Thus, the first step toward conservation and a better understanding of the ecological setting of mangroves is mapping and monitoring mangrove extent over multiple spatial scales. This study aims to develop a novel low-cost remote sensing approach for spatiotemporal mapping and monitoring mangrove forest extent in the northern part of the United Arab Emirates. The approach was developed based on random forest (RF), Kernel logistic regression (KLR), and Naive Bayes Tree machine learning algorithms which use multitemporal Landsat images. Our results of accuracy metrics include accuracy, precision, and recall, F1 score revealed that RF outperformed the KLR and NB with an F1 score of more than 0.90. Each pair of produced mangrove maps (1990–2000, 2000–2010, 2010–2019, and 1990–2019) was used to image difference algorithm to monitor mangrove extent by applying a threshold ranges from +1 to −1. Our results are of great importance to the ecological and research community. The new maps presented in this study will be a good reference and a useful source for the coastal management organization

Using TAM model to empirically examine students' attitudes towards e-services in college of business administration

This study examines the relationships between Perceived Ease of Use and Perceived Usefulness with actual use of E-Services among 189 students from College of Business Administration (CBA) at Prince Sattam bin Abdulaziz University (PSAU) for the academic year 2017/2018. Using a survey-based methodology based on TAM perceptive, the results show that Perceived Ease for Use (PEU) and Perceived Usefulness (PU) had positive associations with Actual Use (AU) of E-Services among CBA students. Thus, the result of this study supports the prediction of TAM theory. The results of this study should be useful to educational policy makers in Kingdom of Saudi Arabia (KSA) and elsewhere, as there is an opportunity of enhancing the E-Services in the academic context

Remote sensing-based assessment of mangrove ecosystems in the Gulf Cooperation Council countries: a systematic review

Mangrove forests in the Gulf Cooperation Council (GCC) countries are facing multiple threats from natural and anthropogenic-driven land use change stressors, contributing to altered ecosystem conditions. Remote sensing tools can be used to monitor mangroves, measure mangrove forest-and-tree-level attributes and vegetation indices at different spatial and temporal scales that allow a detailed and comprehensive understanding of these important ecosystems. Using a systematic literature approach, we reviewed 58 remote sensing-based mangrove assessment articles published from 2010 through 2022. The main objectives of the study were to examine the extent of mangrove distribution and cover, and the remotely sensed data sources used to assess mangrove forest/tree attributes. The key importance of and threats to mangroves that were specific to the region were also examined. Mangrove distribution and cover were mainly estimated from satellite images (75.2%), using NDVI (Normalized Difference Vegetation Index) derived from Landsat (73.3%), IKONOS (15%), Sentinel (11.7%), WorldView (10%), QuickBird (8.3%), SPOT-5 (6.7%), MODIS (5%) and others (5%) such as PlanetScope. Remotely sensed data from aerial photographs/images (6.7%), LiDAR (Light Detection and Ranging) (5%) and UAV (Unmanned Aerial Vehicles)/Drones (3.3%) were the least used. Mangrove cover decreased in Saudi Arabia, Oman, Bahrain, and Kuwait between 1996 and 2020. However, mangrove cover increased appreciably in Qatar and remained relatively stable for the United Arab Emirates (UAE) over the same period, which was attributed to government conservation initiatives toward expanding mangrove afforestation and restoration through direct seeding and seedling planting. The reported country-level mangrove distribution and cover change results varied between studies due to the lack of a standardized methodology, differences in satellite imagery resolution and classification approaches used. There is a need for UAV-LiDAR ground truthing to validate country-and-local-level satellite data. Urban development-driven coastal land reclamation and pollution, climate change-driven temperature and sea level rise, drought and hypersalinity from extreme evaporation are serious threats to mangrove ecosystems. Thus, we encourage the prioritization of mangrove conservation and restoration schemes to support the achievement of related UN Sustainable Development Goals (13 climate action, 14 life below water, and 15 life on land) in the GCC countries

Variations of Arterial Supply of the Liver: C.T. Angiographic Study Among Sudanese Adults

Hepatobiliary surgery through laparoscopic approach is becoming a routine. Knowledge of extrahepatic arterial tree is essential for surgical and imaging procedures. Anatomical complexity is expected since the liver is developed by mergingof lobules with its separate blood supply. This makes a wide range of variations in the pattern of vascular arrangement and so reinforces the need for an accurate understanding of full spectrum of variations. This study aimed to investigate the variations in origin and distribution of extrahepatic arterial supply. Fifty volunteers (32 males and 18 females) aged 20–70 years were randomly recruited from the department of CT scan in Al Amal Hospital, Khartoum North, Sudan. The patients were already candidates for CT angiography with contrast for conditions other than hepatobiliary diseases. The reported data is related to those who accepted to participate in the study. Patients with history of hepatobiliary disease were excluded. 3D views of the scans were treated and the extrahepatic arterial tree was traced in a computer-based software. Key findings suggest that Michel’s classification was considered the standard template for description – 76% of them showed Michel’s type I classification. Types III and V constituted about 2%. About 4% of the cases were represented by types VI and IX. Other types of variations constituted about 12%. To conclude, although type I classification which describes the textbook pattern of hepatic artery distribution was significantly detected among the Sudanese population, other variants were to be considered since they are related to major arteries like aorta and superior mesenteric