Publications

Export 8357 results:
Sort by: Author Title [ Type  (Asc)] Year
Miscellaneous
Corcoran, J., and H. Dawood, Applied Logic Flowchart, , December, 2018. Abstractapplied_logic_flowchart.pdf

The dynamically combined deductive and hypothetico-deductive method has been available to objective investigators since ancient times. Only in the last half-century has it been taught in courses on scientific method and critical thinking. The below chart for teaching and applying it is only about thirty years old.

Galal-Edeen, G. H., Architectonics, {Cultures} and {Other} {Stories}, , London, University of North London, jun, 2002. Abstract
n/a
Galal, G. H., Architectural {Theory}: {Grounding} or {Stipulation}? {A} paradigmatic comparison between the work of {Christopher} {Alexander} and {Henry} {Glassie}, , no. RN/98/130, London, University College London, Univeristy of London, pp. Department of Computer Science, dec, 1998. Abstract
n/a
Soliman, T., Z. Ali, M. Zayed, D. Sabry, and N. AbuBakr, "Assessing the bone-healing potential of bone marrow mesenchymal stem cells in jawbone osteoporosis in albino rats.", Dental and medical problems, vol. 59, issue 1, pp. 75 - 83, 2022. Abstract

BACKGROUND: Osteoporosis is one of the most common yet difficult to treat diseases. It affects millions of people and costs the health care systems billions worldwide. All of the available kinds of pharmacological treatment have multiple side effects, which is why a need for safer treatment options has emerged.OBJECTIVES: This study aimed to assess the bone-healing potential of bone marrow mesenchymal stem cells (BM‑MSCs) in jawbone osteoporosis in Wistar albino rats.MATERIAL AND METHODS: Osteoporosis was induced with a daily intraperitoneal injection of 200 mug/100 g dexamethasone for 1 month. The rats were then randomly distributed into 2 groups: the osteoporotic group (left untreated); and the BM‑MSCs group (received an intravenous injection of 50 million cultured BM‑MSCs). Half of the rats from each group were sacrificed 2 weeks and the other half 6 weeks after the introduction of treatment. Bone regeneration was assessed by means of dual-energy X-ray absorptiometry (DEXA), real-time polymerase chain reaction (RT‑PCR), as well as the histopathological and histomorphometric analyses.RESULTS: As for the 1st sacrifice time, there were no significant differences between the osteoporotic and BM‑MSCs groups with regard to all parameters except for bone mineral density (BMD), which was significantly higher in the BM‑MSCs group. Regarding the 2nd sacrifice time, the DEXA analysis showed a significant increase in BMD in the BM‑MSCs group (p < 0.001). The RT‑PCR analysis showed a significant decrease in RANKL gene expression (p < 0.001) and a significant increase in OPG gene expression (p < 0.001) in the BM‑MSCs group. In addition, the histopathological examination of the BM‑MSCs group showed pronounced healing progress in the jawbone microarchitecture. The histomorphometric analysis also revealed that the bone area percentage significantly increased in the BM‑MSCs group (p < 0.001).CONCLUSIONS: This study proved that BM‑MSCs could be effective in the treatment of osteoporosis.

Abbas, M., A. Amer, and H. Rakha, "Assessing the Impact of ADA Recommended Pedestrian Walking Speed on the Operation of Diamond and SPUI Interchanges", ITE 2008 Annual Meeting and Exhibit Compendium of Technical Papers, Anaheim, CA, Institute of Transportation Engineers, pp. 12, 2008. Abstract
n/a
Sayed, H. S., M. M. Megahed, H. H. Omar, and I. M. Ismael, Assessment of cathode swelling pressure using nonlinear finite element technique, : Minerals, Metals and Materials Society, Warrendale, PA (United States), 1996. Abstract
n/a
Ayoub, D. R., Zeinab Sarhan, Mohsen Askar, and F. Zyada, "Assessment of coping strategies in a sample of risky suicidal Egyptian psychiatric outpatients", EGYPTIAN JOURNAL OF PSYCHIATRY, vol. 34, issue 3, pp. p. 177-185], 2013.
Marzouk, M., and M. Atef, "Assessment of Indoor Air Quality in Academic Buildings Using IoT and Deep Learning", Sustainability, vol. 14, issue 12, 2022. Abstract

Humans spend most of their lifetime indoors; thus, it is important to keep indoor air quality within acceptable levels. As a result, many initiatives have been developed by multiple research centers or through academic studies to address the harmful effects of increased indoor pollutants on public health. This research introduces a system for monitoring different air parameters to evaluate the indoor air quality (IAQ) and to provide real-time readings. The proposed system aims to enhance planning and controlling measures and increase both safety and occupants’ comfort. The system combines microcontrollers and electronic sensors to form an Internet of Things (IoT) solution that collects different indoor readings. The readings are then compared with outdoor readings for the same experiment period and prepared for further processing using artificial intelligence (AI) models. The results showed the high effectiveness of the IoT device in transferring data via Wi-Fi with minimum disruptions and missing data. The average readings for temperature, humidity, air pressure, CO2, CO, and PM2.5 in the presented case study are 30 °C, 42%, 100,422 pa, 460 ppm, 2.2 ppm, and 15.3 µ/m3, respectively. The developed model was able to predict multiple air parameters with acceptable accuracy. It can be concluded that the proposed system proved itself as a powerful forecasting and management tool for monitoring and controlling IAQ.

Radwan, A. F., "An assurance letter to the pilgrims: novel coronavirus 2012", The Egyptian Journal of Internal Medicine, vol. 24: Springer Berlin Heidelberg, pp. 59-60, 2012. Abstract

N/A

Abdullah, A., "ATPMat®: An Open Source Toolbox for Interfacing ATP and Matlab®", https://bitbucket.org/ahmadmabdullah/atpmat/, 2015. Abstract
n/a
El Maghraby, E. E., A. M. Gody, and H. M. Farouk, "Audio-Visual Speech Recognition Using LSTM and CNN", (Formerly <a href='/journal/99' class="text-white">Recent Patents on Computer Science</a>), vol. 14, issue 6, pp. 2023 - 2039, 2021. Abstract

Background: Multimodal speech recognition is proved to be one of the most promisingsolutions for robust speech recognition, especially when the audio signal is corrupted by noise. As
the visual speech signal not affected by audio noise, it can be used to obtain more information used
to enhance the speech recognition accuracy in noisy system. The critical stage in designing robust
speech recognition system is choosing of reliable classification method from large variety of available
classification techniques. Deep learning is well-known as a technique that has the ability to
classify a nonlinear problem, and takes into consideration the sequential characteristic of the speech
signal. Numerous researches have been done in applying deep learning to overcome Audio-Visual
Speech Recognition (AVSR) problems due to its amazing achievements in both speech and image
recognition. Even though optimistic results have been obtained from the continuous studies, researches
on enhancing accuracy in noise system and selecting the best classification technique are
still gaining lots of attention.
Objective: This paper aims to build AVSR system that uses both acoustic combined with visual
speech information and use classification technique based on deep learning to improve the recognition
performance in a clean and noisy environment.
Methods: Mel Frequency Cepstral Coefficient (MFCC) and Discrete Cosine Transform (DCT) are
used to extract the effective features from audio and visual speech signal respectively. The audio
feature rate is greater than the visual feature rate, so that linear interpolation is needed to obtain
equal feature vectors size then early integrating them to get combined feature vector. Bidirectional
Long-Short Term Memory (BiLSTM), one of the Deep learning techniques, are used for classification
process and compare the obtained results to other classification techniques like Convolution
Neural Network (CNN) and the traditional Hidden Markov Models (HMM). The effectiveness of
the proposed model is proved by using two multi-speaker AVSR datasets termed AVletters and
GRID.
Results: The proposed model gives promising results where the obtained results In case of GRID,
using integrated audio-visual features achieved highest recognition accuracy of 99.07% and 98.47%
, with enhancement up to 9.28% and 12.05% over audio-only for clean and noisy data respectively.
For AVletters, the highest recognition accuracy is 93.33% with enhancement up to 8.33% over audio-
only.
Conclusion: Based on the obtained results, we can conclude that increasing the size of audio feature
vector from 13 to 39 doesn’t give effective enhancement for the recognition accuracy in clean
environment, but in noisy environment, it gives better performance. BiLSTM is considered to be
the optimal classifier for a robust speech recognition system when compared to CNN and traditional
HMM, because it takes into consideration the sequential characteristic of the speech signal (audio
and visual). The proposed model gives great improvement in the recognition accuracy and decreasing
the loss value for both clean and noisy environments than using audio-only features. Comparing
the proposed model to previously obtain results which using the same datasets, we found that our
model gives higher recognition accuracy and confirms the robustness of our model.

Al-Hayouti, H., A. Awadein, G. Gawdat, and H. Elhilali, Augmented medial rectus muscle recession versus medial rectus recession with posterior scleral fixation in partially accommodative esotropia: a randomized clinical trial., , 2020. Abstract

PURPOSE: To compare the postoperative alignment after medial rectus muscle posterior scleral fixation versus augmented recession in children with partially accommodative esotropia (PAET) without convergence excess.

METHODS: In this prospective study, 60 children with PAET without convergence excess were randomly assigned to either augmented medial rectus recession, based on the average of distance angle with correction and near angle without correction, or medial rectus recession, based on distance angle with correction, combined with posterior scleral fixation. The ductions, versions, angles of deviation, and difference between angles were analyzed before and 6 months after surgery. Complete success was defined as orthotropia to within 8 of esophoria/tropia for both distance and near, with spectacle correction, at 6 months. Patients who developed any exophoria/tropia with their original spectacles and needed reduction of their hyperopic correction to achieve successful outcome were defined as qualified successes.

RESULTS: Of the 60 children, 25 in the augmented group and 28 in the posterior fixation group completed follow-up. The mean age at surgery was 4.90 ± 2.34 years. The complete success rate was 48% and 64% in the augmented and posterior fixation groups, respectively (P = 0.15); the qualified success rate was 80% and 92.9%, respectively (P = 0.17). Success rate was significantly higher (P = 0.04) in the posterior fixation group (56%) than in the augmented group (18%) when the preoperative angle disparity was ≥20.

CONCLUSIONS: Medial rectus posterior scleral fixation can improve the success rate in PAET with large angle disparity.

Shalash, A. F., Automatic gain control circuit, : Google Patents, 2009. Abstract
n/a
Shalash, A. F., Automatic gain control circuit, : Google Patents, 2009. Abstract
n/a
Miscellaneous Section
Tourism