2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019
In the last decade, the number of space object has skyrocketed. Collecting and analyzing data abo... more In the last decade, the number of space object has skyrocketed. Collecting and analyzing data about these objects is essential in maintaining security of space assets. Classifying unknown objects into satellites, rocket bodies and debris represents a significant milestone in the analysis process. In this context, we investigate the effectiveness of several machine learning methods in classifying real-world light curves of space objects. The light curves are represented with a set of features extracted using the feets (feATURE eXTRACTOR FOR tIME sERIES) public tool. To address the problem of class imbalance, the synthetic minority over-sampling technique (SMOTE) is applied. We also investigate the use of Principal Component Analysis (PCA) in reducing the dimensionality of the feature space, prior to classification. In the case of the original feature set, the top performing classifier is the feedforward neural network with an accuracy of 73.6%. When SMOTE is used, an improvement in accuracy of approximately 15% is observed, with the use of SVM. However, PCA-based feature transformation leads to a slight degradation in performance of around 3%, in the case of the original feature representation, and a considerable degradation of 10%-30%, when SMOTE is used.
The present study investigated the influence of broiler age on the AMEn of wheat, sorghum, barley... more The present study investigated the influence of broiler age on the AMEn of wheat, sorghum, barley, and corn using the substitution method at six different ages (days 7, 14, 21, 28, 35, and 42). A corn-soybean meal basal diet was formulated and, the test diets were developed by replacing (w/w) 300 g/kg of the basal diet with wheat, sorghum, barley, or corn. Bird age influenced (p < 0.001) the AMEn of wheat and sorghum but had no effect (p > 0.05) on those of barley and corn. The AMEn of wheat increased with age (p < 0.001) from 12.53 MJ/kg DM in week 1 to 14.55 MJ/kg DM in week 2, then declined subsequently, but no linear or quadratic responses were observed. The AMEn of sorghum demonstrated a quadratic response (p < 0.05), increasing from 12.84 MJ/kg DM in week 1 to 13.95 MJ/kg DM in week 2, and then plateauing to week 6. Overall, the present results suggest that the effect of broiler age on the AMEn varies depending on the grain type. The current data suggest that the a...
Faculty of Medicine, King Fahad Medical City (KFMC) has adopted the problem based learning (PBL) ... more Faculty of Medicine, King Fahad Medical City (KFMC) has adopted the problem based learning (PBL) curriculum. This study investigates the educational environment in the school, it also compares the educational environment prevailing in problem based learning curriculum with that of conventional and outcome based curricula. A cross sectional study included one hundred and thirty seven males and females medical students (years 1, 2 and 3). The students completed The Dundee Ready Educational Environment Measure (DREEM) inventory questionnaire at the end of the second semester. The data were compared between the studied groups and also with the similar data from conventional and outcome based curricula. Parametric and nonparametric tests were used to compare between different groups and curricula. There were no significant differences in the scores of DREEM questionnaire between the studied groups (years 1, 2 and 3) within the Faculty of Medicine, KFMC. However, there were significant differences between the scores among the medical schools adopting PBL, conventional and outcome based curricula. DREEM scores of Faculty of Medicine at KFMC were significantly higher than the medical schools adopting conventional learning system in Saudi Arabia but were significantly lower than Medical School of Dundee University which adopts the outcome based learning. Educational strategy could be one of the factors that affect the educational environment. Problem based learning could be a better educational environment compared to conventional curriculum. However, the educational environment is not as good as that in schools adopting more innovative strategies of teaching such as that of the outcome based learning.
Problem based learning (PBL) started to spread in health professions in Saudi Arabia at the begin... more Problem based learning (PBL) started to spread in health professions in Saudi Arabia at the beginning of this century. There are several challenges facing its implementation such as defects on interpersonal communications and self-directed learning. These challenges would affect students' performance in small group discussions and their achievement on exams. We believed that, introducing midweek sessions might improve students' performance. This intervention study included third year medical students (36 students). The students were randomly divided into two groups, A and B (18 students each). An extra small group discussion was conducted with group A in the middle of the week (midweek session) between the brain storming and debriefing sessions in haematopoietic and immunology courses. At the end of the midweek session, the students were asked to summarize and record their accomplishments. The scores marks ± SD at the end of each course examinations were evaluated. Moreover, a questionnaire was designed to explore the students' opinion about the midweek session. The data were analyzed and the studied groups were compared using analysis of variance (ANOVA) and chi square tests. The means of the scores in continuous assessment and the end of the course exams were significantly higher in group A compared to group B in both immunology and haematopoietic courses. Moreover, a survey showed that the students have a positive feedback about the implementation of the midweek session. The midweek session has a good impact on the students' performance and achievement in problem-based learning.
Rift valley fever (RVF) is an acute vector-borne viral zoonotic disease of domestic and wild rumi... more Rift valley fever (RVF) is an acute vector-borne viral zoonotic disease of domestic and wild ruminants. The RVF virus (RVFV) belonging to the Phlebovirus genus of the Bunyaviridae family causes this disease. Studies have shown that mosquitoes are the vectors that transmit RVFV. Specifically, Aedes and Culex mosquito species are among the many vectors of this virus, which affects not only sheep, goats, buffalo, cattle, and camels but also human beings. Since the 30s of the last century, RVF struck Africa, and to a lesser extent, Asian continents, with subsequent episodes of epizootic, epidemic, and sporadic outbreaks. These outbreaks, therefore, resulted in the cumulative loss of thousands of human lives, thereby disrupting the livestock market or only those with seropositive cases. After that outbreak episode, RVF was not reported in Libya until January 13, 2020, where it was reported for the 1st time in a flock of sheep and goats in the southern region of the country. Although insu...
Artificial Neural Networks in Pattern Recognition, 2020
Speech synthesis is the artificial production of human speech. A typical text-to-speech system co... more Speech synthesis is the artificial production of human speech. A typical text-to-speech system converts a language text into a waveform. There exist many English TTS systems that produce mature, natural, and human-like speech synthesizers. In contrast, other languages, including Arabic, have not been considered until recently. Existing Arabic speech synthesis solutions are slow, of low quality, and the naturalness of synthesized speech is inferior to the English synthesizers. They also lack essential speech key factors such as intonation, stress, and rhythm. Different works were proposed to solve those issues, including the use of concatenative methods such as unit selection or parametric methods. However, they required a lot of laborious work and domain expertise. Another reason for such poor performance of Arabic speech synthesizers is the lack of speech corpora, unlike English that has many publicly available corpora 1,2 and audiobooks. This work describes how to generate high quality, natural, and human-like Arabic speech using an end-to-end neural deep network architecture. This work uses just text, audio pairs with a relatively small amount of recorded audio samples with a total of 2.41 hours. It illustrates how to use English character embedding despite using diacritic Arabic characters as input and how to preprocess these audio samples to achieve the best results.
2017 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), 2017
This paper demonstrates an 8 × 8 Butler Matrix design that does not employ cross-overs. The Butle... more This paper demonstrates an 8 × 8 Butler Matrix design that does not employ cross-overs. The Butler Matrix was manufactured on a single side of Printed Circuit Board (PCB) and is intended for use with a low-profile C-band directional antenna array. This solution provides an effective methodology for electronically switching beam states of a planner distributed array where typical applications of active phase shifters would either be cost prohibitive or are unnecessary to meet the technical requirements. This design makes use of a series of quadrature hybrid couplers made up of microstrip line circuit board. Test results show that the Matrix efficiently produces the necessary power and phase distribution to each output port allowing the antenna array to show 8 distinct beam states.
The Turkey oak is a frequent tree species in the Mediterranean climate zones of southern Europe a... more The Turkey oak is a frequent tree species in the Mediterranean climate zones of southern Europe and Asia Minor. It has been used in the human diet, for medicinal purposes, firewood and charcoal production. Like all oaks, Turkey oak is suffering from dieback and decline owing to the combination of several detrimental factors, such as insects, diseases and unfavorable environment, leading to their deterioration and sometimes resulting in their early death.
Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, 2014
Optical Character Recognition (OCR) is an important technology. The Arabic language lacks both th... more Optical Character Recognition (OCR) is an important technology. The Arabic language lacks both the variety of OCR systems and the depth of research relative to Roman scripts. A machine learning, Haar-Cascade classifier (HCC) approach was introduced by Viola and Jones (Viola and Jones 2001) to achieve rapid object detection based on a boosted cascade Haar-like features. Here, that approach is modified for the first time to suit Arabic glyph recognition. The HCC approach eliminates problematic steps in the preprocessing and recognition phases and, most importantly, the character segmentation stage. A recognizer was produced for each of the 61 Arabic glyphs that exist after the removal of diacritical marks. These recognizers were trained and tested on some 2,000 images each. The system was tested with real text images and produces a recognition rate for Arabic glyphs of 87%. The proposed method is fast, with an average document recognition time of 14.7 seconds compared with 15.8 seconds for commercial software. 1.1 The Challenge of Arabic Character Recognition Research in OCR faces common difficulties regardless of approach. A method is needed to distinguish ink from non-ink, skew detection and correction algorithms are needed to correct rotational scanning error and a normalization algorithm is also required to scale the document so input and model glyphs are the same size (Al-Marakeby, Kimura et al., 2013, Alginahi, 2013). The Arabic language causes additional difficulties. It is cursive, so a sophisticated character segmentation algorithm is needed if the word is to be segmented into its consituent glyphs. Character segmentation is one of the bottlenecks of current Arabic character recognition systems (Abdelazim, 2006, Naz, Hayat et al., 2013). We suggest that skipping the character segmentation process could improve Arabic character recognition success rates. This section provides an overview of Arabic script and discusses the problems facing the developer of an OCR application (AbdelRaouf,
BACKGROUND Acrylamide (ACR) is a well-proven neurotoxin and potential food carcinogen in humans a... more BACKGROUND Acrylamide (ACR) is a well-proven neurotoxin and potential food carcinogen in humans and rodent models. Silymarin (SIL) is a flavonoid mixture isolated from seeds, leaves, and fruits of Silymarin marianum (milk thistle) that possesses a free-radical scavenging effect. OBJECTIVE In this work, the primary focus was to investigate the efficacy of SIL to mitigate ACR-induced subacute neurotoxic effects and oxidative changes in rat cerebellum. METHODS Adult male rats were treated intraperitoneally with ACR (50 mg/kg) with or without SIL (160 mg/kg). The neuropathology and biochemical parameters viz. lipid peroxidation (measured as levels of malondialdehyde or MDA), catalase (CAT), superoxide dismutase (SOD), glutathione peroxidase (GPx), serotonin (5-hydroxytryptamine; 5-HT), dopamine (DA), and cathepsin D (CTSD) in the cerebellum have been evaluated. RESULTS The data showed that ACR induced redox disruptions as measured by increased MDA levels and inhibition of CAT, SOD, and GPx antioxidant enzyme activities. Besides, cerebellar monoamine neurotransmitters, 5-HT and DA, were depleted in ACR-treated rats. Furthermore, ACR administration caused a significant elevation of CTSD activity, indicating that ACR could trigger apoptosis or apoptosis-like death. At the tissue level, cerebellar cortex sections from ACR-treated animals were characterized by severe neuronal damage. The administration of SIL to ACR-treated rats remarkably alleviated all the aforementioned ACR-induced effects. CONCLUSION SIL has a potent therapeutic effect against ACR-induced cerebellar neurotoxicity in experimental rats via the attenuation of oxidative/antioxidative responses and the inhibition of CTSD-activity.
2021 The 5th International Conference on E-Commerce, E-Business and E-Government, 2021
Stock market is the aggregation of purchasers and venders of stocks and it represents ownership c... more Stock market is the aggregation of purchasers and venders of stocks and it represents ownership claims on businesses. The purpose of predicting stock market is to anticipate the price value and direction of stock. Higher profits will investors can made by higher accuracy prediction are gotten and here is one of the most challenging issues is predicting how the stock market will move. In this paper we are going to predict the value of the close price for the stock market and that by using Long-short term memory (LSTM) neural network and also predict the direction of the stock market by using neural network (ANN) and after that will compare the results of performance that we obtained with other papers used same dataset.
A duplicated collecting system is a common congenital anomaly of the urinary tract. However, late... more A duplicated collecting system is a common congenital anomaly of the urinary tract. However, late symptomatic presentation in adulthood is uncommon. We report the first case of left heminephrectomy, ureterectomy and radical prostatectomy using the da Vinci SP (single port) surgical system in a 64-year-old patient with localized prostate cancer and duplicated system with ectopic ureteral insertion into the prostatic urethra. The procedure was completed without technical difficulties or intraoperative adverse events. We demonstrate that the da Vinci SP robot allows for efficient performance of concomitant surgeries on the kidney and prostate without the limitations reported with single site surgeries.
Background With the growing incidence of children with coronavirus disease 2019 (COVID-19), the h... more Background With the growing incidence of children with coronavirus disease 2019 (COVID-19), the hospitalization rate in this age category has been increasing. This study aimed to assess the length of hospital stay (LOS) among children with COVID-19 and examine potential risk factors. Patients and methods We retrospectively collected data on 50 consecutive children and adolescents with mild to moderate COVID-19 who were discharged after treatment from one hospital in Egypt during July 2020. Betas (Bs) and their 95% confidence intervals (CIs) for the association of patients' sociodemographic and clinical characteristics with their LOS were computed using unadjusted and multivariable-adjusted linear regression models. Results The average LOS was 8.3 days (median 9 days). Presenting with fever, cough, and ground-glass opacity in radiograph was associated with longer LOS in the unadjusted model with Bs (95% CIs): 4.30 (1.07, 7.52), 3.50 (0.34, 6.66), and 5.55 (2.72, 8.37), respective...
Aquatic ecosystems act directly or indirectly as sinks for heavy metals, which persists for longe... more Aquatic ecosystems act directly or indirectly as sinks for heavy metals, which persists for longer times in the biogeochemical cycle and poses high ecological risks and thus, it represents a major worldwide concern. To evaluate the metal contamination in the Nile Delta, twenty sites along both Rosetta and Damietta branches were investigated. Most heavy metals concentrations are above the sediments quality guidelines. The Contamination Factor (CF), Pollution Load index (PLI), and geo-accumulation index (I geo) indicated that the sediments are moderately to extremely polluted by Ni, Cd, Cr, Cu, Pb, and Zn. A trend of increasing metals concentration towards the Mediterranean was observed and attributed to historical sinking of heavy metals in the sediment, where many agricultural drains bringing mixed wastewater. Cluster analyses support the latter and indicated that the heavy metals, which clustered together, may have the same source (i.e. anthropogenic). Non-metric Multidimensional S...
In the past years, toxic comments and offensive speech are polluting the internet and manual insp... more In the past years, toxic comments and offensive speech are polluting the internet and manual inspection of these comments is becoming a tiresome task to manage. Having a machine learning based model that is able to filter offensive Arabic content is of high need nowadays. In this paper, we describe the model that was submitted to the Shared Task on Offensive Language Detection that is organized by (The 4th Workshop on Open-Source Arabic Corpora and Processing Tools). Our model makes use transformer based model (BERT) to detect offensive content. We came in the fourth place in subtask A (detecting Offensive Speech) and in the third place in subtask B (detecting Hate Speech).
2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019
In the last decade, the number of space object has skyrocketed. Collecting and analyzing data abo... more In the last decade, the number of space object has skyrocketed. Collecting and analyzing data about these objects is essential in maintaining security of space assets. Classifying unknown objects into satellites, rocket bodies and debris represents a significant milestone in the analysis process. In this context, we investigate the effectiveness of several machine learning methods in classifying real-world light curves of space objects. The light curves are represented with a set of features extracted using the feets (feATURE eXTRACTOR FOR tIME sERIES) public tool. To address the problem of class imbalance, the synthetic minority over-sampling technique (SMOTE) is applied. We also investigate the use of Principal Component Analysis (PCA) in reducing the dimensionality of the feature space, prior to classification. In the case of the original feature set, the top performing classifier is the feedforward neural network with an accuracy of 73.6%. When SMOTE is used, an improvement in accuracy of approximately 15% is observed, with the use of SVM. However, PCA-based feature transformation leads to a slight degradation in performance of around 3%, in the case of the original feature representation, and a considerable degradation of 10%-30%, when SMOTE is used.
The present study investigated the influence of broiler age on the AMEn of wheat, sorghum, barley... more The present study investigated the influence of broiler age on the AMEn of wheat, sorghum, barley, and corn using the substitution method at six different ages (days 7, 14, 21, 28, 35, and 42). A corn-soybean meal basal diet was formulated and, the test diets were developed by replacing (w/w) 300 g/kg of the basal diet with wheat, sorghum, barley, or corn. Bird age influenced (p < 0.001) the AMEn of wheat and sorghum but had no effect (p > 0.05) on those of barley and corn. The AMEn of wheat increased with age (p < 0.001) from 12.53 MJ/kg DM in week 1 to 14.55 MJ/kg DM in week 2, then declined subsequently, but no linear or quadratic responses were observed. The AMEn of sorghum demonstrated a quadratic response (p < 0.05), increasing from 12.84 MJ/kg DM in week 1 to 13.95 MJ/kg DM in week 2, and then plateauing to week 6. Overall, the present results suggest that the effect of broiler age on the AMEn varies depending on the grain type. The current data suggest that the a...
Faculty of Medicine, King Fahad Medical City (KFMC) has adopted the problem based learning (PBL) ... more Faculty of Medicine, King Fahad Medical City (KFMC) has adopted the problem based learning (PBL) curriculum. This study investigates the educational environment in the school, it also compares the educational environment prevailing in problem based learning curriculum with that of conventional and outcome based curricula. A cross sectional study included one hundred and thirty seven males and females medical students (years 1, 2 and 3). The students completed The Dundee Ready Educational Environment Measure (DREEM) inventory questionnaire at the end of the second semester. The data were compared between the studied groups and also with the similar data from conventional and outcome based curricula. Parametric and nonparametric tests were used to compare between different groups and curricula. There were no significant differences in the scores of DREEM questionnaire between the studied groups (years 1, 2 and 3) within the Faculty of Medicine, KFMC. However, there were significant differences between the scores among the medical schools adopting PBL, conventional and outcome based curricula. DREEM scores of Faculty of Medicine at KFMC were significantly higher than the medical schools adopting conventional learning system in Saudi Arabia but were significantly lower than Medical School of Dundee University which adopts the outcome based learning. Educational strategy could be one of the factors that affect the educational environment. Problem based learning could be a better educational environment compared to conventional curriculum. However, the educational environment is not as good as that in schools adopting more innovative strategies of teaching such as that of the outcome based learning.
Problem based learning (PBL) started to spread in health professions in Saudi Arabia at the begin... more Problem based learning (PBL) started to spread in health professions in Saudi Arabia at the beginning of this century. There are several challenges facing its implementation such as defects on interpersonal communications and self-directed learning. These challenges would affect students' performance in small group discussions and their achievement on exams. We believed that, introducing midweek sessions might improve students' performance. This intervention study included third year medical students (36 students). The students were randomly divided into two groups, A and B (18 students each). An extra small group discussion was conducted with group A in the middle of the week (midweek session) between the brain storming and debriefing sessions in haematopoietic and immunology courses. At the end of the midweek session, the students were asked to summarize and record their accomplishments. The scores marks ± SD at the end of each course examinations were evaluated. Moreover, a questionnaire was designed to explore the students' opinion about the midweek session. The data were analyzed and the studied groups were compared using analysis of variance (ANOVA) and chi square tests. The means of the scores in continuous assessment and the end of the course exams were significantly higher in group A compared to group B in both immunology and haematopoietic courses. Moreover, a survey showed that the students have a positive feedback about the implementation of the midweek session. The midweek session has a good impact on the students' performance and achievement in problem-based learning.
Rift valley fever (RVF) is an acute vector-borne viral zoonotic disease of domestic and wild rumi... more Rift valley fever (RVF) is an acute vector-borne viral zoonotic disease of domestic and wild ruminants. The RVF virus (RVFV) belonging to the Phlebovirus genus of the Bunyaviridae family causes this disease. Studies have shown that mosquitoes are the vectors that transmit RVFV. Specifically, Aedes and Culex mosquito species are among the many vectors of this virus, which affects not only sheep, goats, buffalo, cattle, and camels but also human beings. Since the 30s of the last century, RVF struck Africa, and to a lesser extent, Asian continents, with subsequent episodes of epizootic, epidemic, and sporadic outbreaks. These outbreaks, therefore, resulted in the cumulative loss of thousands of human lives, thereby disrupting the livestock market or only those with seropositive cases. After that outbreak episode, RVF was not reported in Libya until January 13, 2020, where it was reported for the 1st time in a flock of sheep and goats in the southern region of the country. Although insu...
Artificial Neural Networks in Pattern Recognition, 2020
Speech synthesis is the artificial production of human speech. A typical text-to-speech system co... more Speech synthesis is the artificial production of human speech. A typical text-to-speech system converts a language text into a waveform. There exist many English TTS systems that produce mature, natural, and human-like speech synthesizers. In contrast, other languages, including Arabic, have not been considered until recently. Existing Arabic speech synthesis solutions are slow, of low quality, and the naturalness of synthesized speech is inferior to the English synthesizers. They also lack essential speech key factors such as intonation, stress, and rhythm. Different works were proposed to solve those issues, including the use of concatenative methods such as unit selection or parametric methods. However, they required a lot of laborious work and domain expertise. Another reason for such poor performance of Arabic speech synthesizers is the lack of speech corpora, unlike English that has many publicly available corpora 1,2 and audiobooks. This work describes how to generate high quality, natural, and human-like Arabic speech using an end-to-end neural deep network architecture. This work uses just text, audio pairs with a relatively small amount of recorded audio samples with a total of 2.41 hours. It illustrates how to use English character embedding despite using diacritic Arabic characters as input and how to preprocess these audio samples to achieve the best results.
2017 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), 2017
This paper demonstrates an 8 × 8 Butler Matrix design that does not employ cross-overs. The Butle... more This paper demonstrates an 8 × 8 Butler Matrix design that does not employ cross-overs. The Butler Matrix was manufactured on a single side of Printed Circuit Board (PCB) and is intended for use with a low-profile C-band directional antenna array. This solution provides an effective methodology for electronically switching beam states of a planner distributed array where typical applications of active phase shifters would either be cost prohibitive or are unnecessary to meet the technical requirements. This design makes use of a series of quadrature hybrid couplers made up of microstrip line circuit board. Test results show that the Matrix efficiently produces the necessary power and phase distribution to each output port allowing the antenna array to show 8 distinct beam states.
The Turkey oak is a frequent tree species in the Mediterranean climate zones of southern Europe a... more The Turkey oak is a frequent tree species in the Mediterranean climate zones of southern Europe and Asia Minor. It has been used in the human diet, for medicinal purposes, firewood and charcoal production. Like all oaks, Turkey oak is suffering from dieback and decline owing to the combination of several detrimental factors, such as insects, diseases and unfavorable environment, leading to their deterioration and sometimes resulting in their early death.
Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, 2014
Optical Character Recognition (OCR) is an important technology. The Arabic language lacks both th... more Optical Character Recognition (OCR) is an important technology. The Arabic language lacks both the variety of OCR systems and the depth of research relative to Roman scripts. A machine learning, Haar-Cascade classifier (HCC) approach was introduced by Viola and Jones (Viola and Jones 2001) to achieve rapid object detection based on a boosted cascade Haar-like features. Here, that approach is modified for the first time to suit Arabic glyph recognition. The HCC approach eliminates problematic steps in the preprocessing and recognition phases and, most importantly, the character segmentation stage. A recognizer was produced for each of the 61 Arabic glyphs that exist after the removal of diacritical marks. These recognizers were trained and tested on some 2,000 images each. The system was tested with real text images and produces a recognition rate for Arabic glyphs of 87%. The proposed method is fast, with an average document recognition time of 14.7 seconds compared with 15.8 seconds for commercial software. 1.1 The Challenge of Arabic Character Recognition Research in OCR faces common difficulties regardless of approach. A method is needed to distinguish ink from non-ink, skew detection and correction algorithms are needed to correct rotational scanning error and a normalization algorithm is also required to scale the document so input and model glyphs are the same size (Al-Marakeby, Kimura et al., 2013, Alginahi, 2013). The Arabic language causes additional difficulties. It is cursive, so a sophisticated character segmentation algorithm is needed if the word is to be segmented into its consituent glyphs. Character segmentation is one of the bottlenecks of current Arabic character recognition systems (Abdelazim, 2006, Naz, Hayat et al., 2013). We suggest that skipping the character segmentation process could improve Arabic character recognition success rates. This section provides an overview of Arabic script and discusses the problems facing the developer of an OCR application (AbdelRaouf,
BACKGROUND Acrylamide (ACR) is a well-proven neurotoxin and potential food carcinogen in humans a... more BACKGROUND Acrylamide (ACR) is a well-proven neurotoxin and potential food carcinogen in humans and rodent models. Silymarin (SIL) is a flavonoid mixture isolated from seeds, leaves, and fruits of Silymarin marianum (milk thistle) that possesses a free-radical scavenging effect. OBJECTIVE In this work, the primary focus was to investigate the efficacy of SIL to mitigate ACR-induced subacute neurotoxic effects and oxidative changes in rat cerebellum. METHODS Adult male rats were treated intraperitoneally with ACR (50 mg/kg) with or without SIL (160 mg/kg). The neuropathology and biochemical parameters viz. lipid peroxidation (measured as levels of malondialdehyde or MDA), catalase (CAT), superoxide dismutase (SOD), glutathione peroxidase (GPx), serotonin (5-hydroxytryptamine; 5-HT), dopamine (DA), and cathepsin D (CTSD) in the cerebellum have been evaluated. RESULTS The data showed that ACR induced redox disruptions as measured by increased MDA levels and inhibition of CAT, SOD, and GPx antioxidant enzyme activities. Besides, cerebellar monoamine neurotransmitters, 5-HT and DA, were depleted in ACR-treated rats. Furthermore, ACR administration caused a significant elevation of CTSD activity, indicating that ACR could trigger apoptosis or apoptosis-like death. At the tissue level, cerebellar cortex sections from ACR-treated animals were characterized by severe neuronal damage. The administration of SIL to ACR-treated rats remarkably alleviated all the aforementioned ACR-induced effects. CONCLUSION SIL has a potent therapeutic effect against ACR-induced cerebellar neurotoxicity in experimental rats via the attenuation of oxidative/antioxidative responses and the inhibition of CTSD-activity.
2021 The 5th International Conference on E-Commerce, E-Business and E-Government, 2021
Stock market is the aggregation of purchasers and venders of stocks and it represents ownership c... more Stock market is the aggregation of purchasers and venders of stocks and it represents ownership claims on businesses. The purpose of predicting stock market is to anticipate the price value and direction of stock. Higher profits will investors can made by higher accuracy prediction are gotten and here is one of the most challenging issues is predicting how the stock market will move. In this paper we are going to predict the value of the close price for the stock market and that by using Long-short term memory (LSTM) neural network and also predict the direction of the stock market by using neural network (ANN) and after that will compare the results of performance that we obtained with other papers used same dataset.
A duplicated collecting system is a common congenital anomaly of the urinary tract. However, late... more A duplicated collecting system is a common congenital anomaly of the urinary tract. However, late symptomatic presentation in adulthood is uncommon. We report the first case of left heminephrectomy, ureterectomy and radical prostatectomy using the da Vinci SP (single port) surgical system in a 64-year-old patient with localized prostate cancer and duplicated system with ectopic ureteral insertion into the prostatic urethra. The procedure was completed without technical difficulties or intraoperative adverse events. We demonstrate that the da Vinci SP robot allows for efficient performance of concomitant surgeries on the kidney and prostate without the limitations reported with single site surgeries.
Background With the growing incidence of children with coronavirus disease 2019 (COVID-19), the h... more Background With the growing incidence of children with coronavirus disease 2019 (COVID-19), the hospitalization rate in this age category has been increasing. This study aimed to assess the length of hospital stay (LOS) among children with COVID-19 and examine potential risk factors. Patients and methods We retrospectively collected data on 50 consecutive children and adolescents with mild to moderate COVID-19 who were discharged after treatment from one hospital in Egypt during July 2020. Betas (Bs) and their 95% confidence intervals (CIs) for the association of patients' sociodemographic and clinical characteristics with their LOS were computed using unadjusted and multivariable-adjusted linear regression models. Results The average LOS was 8.3 days (median 9 days). Presenting with fever, cough, and ground-glass opacity in radiograph was associated with longer LOS in the unadjusted model with Bs (95% CIs): 4.30 (1.07, 7.52), 3.50 (0.34, 6.66), and 5.55 (2.72, 8.37), respective...
Aquatic ecosystems act directly or indirectly as sinks for heavy metals, which persists for longe... more Aquatic ecosystems act directly or indirectly as sinks for heavy metals, which persists for longer times in the biogeochemical cycle and poses high ecological risks and thus, it represents a major worldwide concern. To evaluate the metal contamination in the Nile Delta, twenty sites along both Rosetta and Damietta branches were investigated. Most heavy metals concentrations are above the sediments quality guidelines. The Contamination Factor (CF), Pollution Load index (PLI), and geo-accumulation index (I geo) indicated that the sediments are moderately to extremely polluted by Ni, Cd, Cr, Cu, Pb, and Zn. A trend of increasing metals concentration towards the Mediterranean was observed and attributed to historical sinking of heavy metals in the sediment, where many agricultural drains bringing mixed wastewater. Cluster analyses support the latter and indicated that the heavy metals, which clustered together, may have the same source (i.e. anthropogenic). Non-metric Multidimensional S...
In the past years, toxic comments and offensive speech are polluting the internet and manual insp... more In the past years, toxic comments and offensive speech are polluting the internet and manual inspection of these comments is becoming a tiresome task to manage. Having a machine learning based model that is able to filter offensive Arabic content is of high need nowadays. In this paper, we describe the model that was submitted to the Shared Task on Offensive Language Detection that is organized by (The 4th Workshop on Open-Source Arabic Corpora and Processing Tools). Our model makes use transformer based model (BERT) to detect offensive content. We came in the fourth place in subtask A (detecting Offensive Speech) and in the third place in subtask B (detecting Hate Speech).
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Papers by Mahmoud Khalil