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Khaled fathy

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Saint Mary's University (Canada)

Nikhil Chandra Shil, FCMA

East West University

Vincenzo Bavoso

The University of Manchester

The University of Sheffield

Armando Marques-Guedes

UNL - New University of Lisbon

Prof. Aruwa, Suleiman A.S.

NASARAWA STATE UNIVERSITY, KEFFI, NASARAWA STATE-NIGERIA

KABIR TAHIR HAMID

Bayero University, Kano

José Luis Ponz Tienda

Universidad de los Andes (Colombia)

IE BUSINESS SCHOOL

Sebelas Maret University

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Papers by Khaled fathy

Cold plasma approach fortifies the topical application of thymoquinone intended for wound healing via up-regulating the levels of TGF-ß, VEGF, and α-SMA in rats

International Immunopharmacology

Using Green Chemicals and Biological Control Agents for Controlling the Seed-Borne Pathogen Fusarium moniliforme in Sugar Beet

Journal of Plant Protection and Pathology

Seeds of fifteen sugar beet (Beta vulgaris L.) cultivars were collected in 2018 and 2019 in Egypt... more Seeds of fifteen sugar beet (Beta vulgaris L.) cultivars were collected in 2018 and 2019 in Egypt and screened for their seed-borne mycoflora using deep-freezing blotter method. Among those fungi recovered from sugar beet seeds, a plant pathogen Fusarium moniliforme was the most dominant. Thus, it was tested for its pathogenicity and transmission against sugar beet plants. Green chemicals (antioxidants) and biological control agents were used for suppressing F. moniliforme in comparison with Fludioxonil/Mefenoxam (Maxim XL 3.5% FS ® ; a chemical fungicide), Potassium silicate at concentrations (4, 6, 8, 10 and 12 ml/L), Nicotinic acid at concentrations (1, 5, 10, 15 and 20 mM/L), Trichoderma harzianum, T. hamatum and Bacillus subtilis were tested against F. moniliforme in vitro, in the greenhouse and in the field. The results assured that nicotinic acid at 5 mM/L, T. harzianum and T. hamatum and potassium silicate at 12 ml/L were the best treatments compared with the Maxim ® fungicide (control). But nicotinic acid at 5 mM/L was the most effective among all treatments.

Acceleration of Wheel Factoring Techniques

Mathematics

The efficiency with which an integer may be factored into its prime factors determines several pu... more The efficiency with which an integer may be factored into its prime factors determines several public key cryptosystems’ security in use today. Although there is a quantum-based technique with a polynomial time for integer factoring, on a traditional computer, there is no polynomial time algorithm. We investigate how to enhance the wheel factoring technique in this paper. Current wheel factorization algorithms rely on a very restricted set of prime integers as a base. In this study, we intend to adapt this notion to rely on a greater number of prime integers, resulting in a considerable improvement in the execution time. The experiments on composite numbers n reveal that the proposed algorithm improves on the existing wheel factoring algorithm by about 75%.

The Added Values Of Duplex Study And Cranial Ultrasonography In Clinically Suspected Preterm Brain Injury

Minia Journal of Medical Research

Accelerating the Wheel Factoring Techniques

The efficiency with which an integer may be factored into its prime factors determines several pu... more The efficiency with which an integer may be factored into its prime factors determines several public key cryptosystems′ security in use today. Although there is a quantum-based technique with a polynomial time for integer factoring, on a traditional computer, there is no polynomial time algorithm. We investigate how to enhance the wheel factoring technique in this paper. Current wheel factorization algorithms rely on a very restricted set of prime integers as a base. In this study, we intend to adapt this notion to rely on a greater number of prime integers, resulting in a considerable improvement in the execution time. The experiments on composite numbers n reveal that the proposed algorithm improves on the existing wheel factoring algorithm by about 75%

Arabic Sentences Semantic Similarity Based on Word Embedding

2022 20th International Conference on Language Engineering (ESOLEC)

Zamzam Water Ameliorates Gentamicin-Induced Testicular Toxicity in a Rat Model via Targeting Sperm Parameters, Testicular Tissue Oxidative Insult, Inflammation, Apoptosis, and Pituitary-Gonadal Axis

Toxics

Gentamicin is considered one of the most typical causes of testicular damage. Oxidative stress is... more Gentamicin is considered one of the most typical causes of testicular damage. Oxidative stress is a significant contributor to testicular tissue damage. Zamzam water (alkaline in nature) has an antioxidant effect. The purpose of this study was to assess the potential palliative effect of Zamzam water against gentamicin-induced testicular damage. Thirty Rats were separated into three groups, each with ten rats, as follows: The Control received only normal saline. The gentamicin group received 100 mg/kg/day of gentamicin intraperitoneally for six days from day 15 to the end of the experiment. The gentamicin +Zamzam Water group received a dose of gentamicin 100 mg/kg/day intraperitoneally with Zamzam water as their sole source of drinking from day one to day 21. Hormonal assay in serum, histological, immunohistochemical, and ultrastructural examination of testicular tissue with a molecular study were obtained. Pretreatment with Zamzam water significantly p < 0.001 increased serum le...

A deep learning content-based image retrieval approach using cloud computing

Indonesian Journal of Electrical Engineering and Computer Science

Due to the rapid growth in multimedia content and its visual complexity, contentbased image retri... more Due to the rapid growth in multimedia content and its visual complexity, contentbased image retrieval (CBIR) has become a very challenging task. Existing works achieve high precision values at first retrieval levels such as top 10 and top 20 images, but low precision values at subsequent levels such as top 40, 50, and 70, so the goal of this paper is to propose a new CBIR approach that achieves high precision values at all retrieval levels. The proposed method combines features extracted from the pre-trained AlexNet model and discrete cosine transform (DCT). Then principal components analysis (PCA) is performed on AlexNet’s features and feeding these combination to multiclass support vector machine (SVM). The euclidean distance is used to measure the similarity between query and stored images features within the predicted class by SVM. Finally top similar images are ranked and retrieved. All above techniques require huge computational power which may not be available on client machi...

An improved protocol for efficient regeneration, transformation and gene-editing using CRISPR/Cas9 in pigeonpea (Cajanus cajan(L.) Millsp.)

Background: Pigeonpea (Cajanus cajan (L.) Millsp.; 2n = 2× = 22) is a drought-tolerant perennial ... more Background: Pigeonpea (Cajanus cajan (L.) Millsp.; 2n = 2× = 22) is a drought-tolerant perennial grain legume commonly cultivated in India's rain-fed and dry land zones, and it is a remarkable natural source of minerals and protein worldwide. Despite decades of research, the constraints linked to tissue culture continues to hinder the genetic improvement of the crop for instances; the explants inability to produce an embryogenic calli, direct shoot formation, and limited regeneration potential, as well as a lack of an effective transformation system. Thereby, efficient calli production, in-vitro recovery, and a systematic technique to co-delivery of Cas9 and sgRNA into the plant remain pre-requisites for efficient genome alteration. Results: To establish a CRISPR/Cas9 based genome editing platform in pigeonpea, a CRISPR/Cas9 mediated binary vector for coherent gene modification (for example, knockout, Homology Donor Repair) was designed. Calli production was achieved at a rate o...

Implementation of Underwater Communication System powered by Solar Energy Harvesting

Proceedings of the 2019 8th International Conference on Software and Information Engineering, 2019

Underwater communication (UWC) has become a fast-growing research because two-thirds of earth is ... more Underwater communication (UWC) has become a fast-growing research because two-thirds of earth is covered by water. UWC is a promising field that is expected to revolutionise some applications such as; oil industry, pollution monitoring. Data collection from oceans, seas and rivers can play a vital role in detecting anomalies and discovering new resources. This paper proposes an Underwater Monitoring System (UMS) whereas the system has solar/light energy harvesting equipped with the nodes. These nodes are placed underwater to report the temperature of the water from time to another. UMS is tested on one master and two slave nodes whereas the master node is onshore of the beach, while the other two are submerged underwater. Moreover, the success rate and a number of transmitted packets per second are used to evaluate the system performance. Furthermore, two different types of solar panels are examined namely; amorphous and mono-crystalline. Further, different light sources are considered such as sunlight, LED and Halogen illumination. In addition, UMS is examined in terms of different containers materials as some Radio Frequency (RF) reflection signals might occur.

ASSD: Arabic Semantic Similarity Dataset

2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC), 2021

Finding semantic similarity between sentences is very useful in many NLP applications, such as in... more Finding semantic similarity between sentences is very useful in many NLP applications, such as information retrieval, plagiarism detection, information extraction, and machine translation. Limitations in Arabic language resources have led to a poor level of research in Arabic sentence similarity. This challenge makes identifying semantically similar sentences in Arabic even more difficult. This paper presents a new Arabic dataset for the sentence similarity task. This dataset can be used to help develop sentence similarity approaches. In addition, the main purpose of the created dataset is to evaluate the sentence similarity approach. The dataset has been collected from Wikipedia, an intermediate lexicon, and other WWW resources. This paper gives more details about the processes of collecting data, filtering, preprocessing the pairs of sentences and some statistics about the dataset, for building a benchmark for semantic textual similarity. The dataset is available for future research in this field. The experiment shows that the created dataset is an efficient tool for evaluating semantic similarity approaches for the Arabic language.

Multisource Smart Computer-Aided System for Mining COVID-19 Infection Data

Healthcare, 2022

In this paper, we approach the problem of detecting and diagnosing COVID-19 infections using mult... more In this paper, we approach the problem of detecting and diagnosing COVID-19 infections using multisource scan images including CT and X-ray scans to assist the healthcare system during the COVID-19 pandemic. Here, a computer-aided diagnosis (CAD) system is proposed that utilizes analysis of the CT or X-ray to diagnose the impact of damage in the respiratory system per infected case. The CAD was utilized and optimized by hyper-parameters for shallow learning, e.g., SVM and deep learning. For the deep learning, mini-batch stochastic gradient descent was used to overcome fitting problems during transfer learning. The optimal parameter list values were found using the naïve Bayes technique. Our contributions are (i) a comparison among the detection rates of pre-trained CNN models, (ii) a suggested hybrid deep learning with shallow machine learning, (iii) an extensive analysis of the results of COVID-19 transition and informative conclusions through developing various transfer techniques...

An efficient parallel strategy for high-cost prefix operation

The Journal of Supercomputing, 2020

The prefix computation strategy is a fundamental technique used to solve many problems in compute... more The prefix computation strategy is a fundamental technique used to solve many problems in computer science such as sorting, clustering, and computer vision. A large number of parallel algorithms have been introduced that are based on a variety of high-performance systems. However, these algorithms do not consider the cost of the prefix computation operation. In this paper, we design a novel strategy for prefix computation to reduce the running time for high-cost operations such as multiplication. The proposed algorithm is based on (1) reducing the size of the partition and (2) keeping a fixed-size partition during all the steps of the computation. Experiments on a multicore system for different array sizes and number sizes demonstrate that the proposed parallel algorithm reduces the running time of the best-known optimal parallel algorithm in the average range of 62.7-79.6%. Moreover, the proposed algorithm has high speedup and is more scalable than those in previous works.

Profiling of Avirulence Genes, Transposable Elements, Mating Type Alleles and Virulence Analysis in Magnaporthe oryzae Isolates

Semantic Representation Extraction from Unstructured Arabic Text

Proceedings of the 2019 8th International Conference on Software and Information Engineering, 2019

One of the crucial tasks in the Semantic Web research is extracting information from unstructured... more One of the crucial tasks in the Semantic Web research is extracting information from unstructured text and converting it into semantic form to be machine understandable. This semantic representation is useful for many purposes such as question answering, summarization and information retrieval. This paper provides a system for converting Arabic text into Resource Description Framework (RDF) semantic format. The proposed system includes syntactical parser that used to extract triples (subject-predicate-object) from preprocessed Arabic text. Moreover, name entity recognition is used to extract entities which mapped with DBpedia to get URIs. Finally, the corresponding RDF representation which captures semantics of Arabic text is generated.

Relation Extraction from Arabic Wikipedia

Indian Journal of Science and Technology, 2019

Objectives/Methods: This study aims to extract relations between entities from Arabic text. Relat... more Objectives/Methods: This study aims to extract relations between entities from Arabic text. RelationExtraction is one of the most important tasks in text mining. Relation extraction is considered as a main step for many applications such as extracting triples from the text, Question Answering and Ontology building. However, extracting relations from the Arabic text is a difficult task compared to English due to lack of annotated Arabic corpora. This paper proposes a method for extracting relations from Arabic text based on ArabicWikipedia articles characteristics.The propose system extracts sentences that contain principle entity, secondary entity and relation from Wikipedia article, then we use WordNet and DBpedia to build the training set. Finally Naive Bayes Classifier is used to train and test the datasets. Finding: There are few works to extract relations from Arabic text. These works depend on classification, clustering and rule based. Application/ improvement: The experiments show the effectiveness of the proposed approach which achieves high precision with 89% for classifying 19 type of semantic relations.

Toxicity of selenium nanoparticles on the development of rat neonates

African Journal of Biological Sciences, 2019

The present study aims to investigate the impact of selenium on the morphological, biochemical an... more The present study aims to investigate the impact of selenium on the morphological, biochemical and ultrastructural changes in the testes, ovaries and livers of mothers rats and their 14 days old age neonates by transmission electron microscopy. Female rats were dosed orally with distal water and 0.5, 1.7, and 6.0 mg Se/kg bw/day as (10-45) nm SeNPs, for 14 days old age neonates. At doses of 1.7 and 6.0 mg Se/kg bw/day, a lowering in body weight gain was recorded as compared with the control group. Decrease in Glutathione peroxidase (GPX) of moderate dose (MD) and high dose (HD) groups was explained as due to increase reactive oxygen species in body tissues. There was increase in oxidative status (GPX) of Low Dose (LD) comparing to control group. There were no histological changes in the liver, ovary and testes of the investigated neonates at LD , MD and HD groups. The toxicity of Se NPs on oxidation status and ultrastructure of ovaries and testes did not occur at low levels 0.5 mg Se/kg but appear with degrees of changes at high level Se NPs(1.7-6.0 mg Se/kg). The present results indicated that Se NPs were not toxic at supra-nutritional levels and can induce a positive effect on both neonate rats health at a dose of 0.5 μg Se/kg-bw and in mother rats growth, whereas the chronic toxicity will be induced by more than 1.7 μg Se/kg-bw.

Enhancement of Antibiotics activity by microbially synthesized silver nanoparticles

African Journal of Biological Sciences, 2019

Biological synthesis of nanoparticles is a promising approach that is comparatively inexpensive a... more Biological synthesis of nanoparticles is a promising approach that is comparatively inexpensive and eco-friendly. Among various microorganisms, actinobacteria have been found to be efficient in the synthesis of nanomaterials. In thisstudy, extracellular biosynthesis of silver nanoparticles (Ag-NPs) was investigated by mixing silver nitrate with culture filtrate of Streptomyces rochei strain MFA-37.The biosynthesized Ag-NPs were characterized by UV-Vis spectrophotometric analysis, and showed a peak of absorbance at 440 nm. Fourier transform infrared (FTIR) analysis showed amines and amides that are responsible for the stabilization of Ag-NPs. The morphology and size of nanoparticles were determined using high-resolution transmission electron microscopy, XRD and DLS techniques which indicated well dispersed, spherical Ag-NPs sized 2-20 nm, and the zeta potential of AgNPs reached-20.5 mV. Enhancement of antibacterial activity of fourteen antibiotics was conducted by combining antibiotics with synthesized AgNPs. The synergistic activities of AgNPs combination with antibiotics were determined using disc diffusion against two multi-drug resistant Staphylococcus aureus SA-185 and SA-325 recovered from Libya. The highest synergistic effects were 6.11 and 6.37 folds for Penicillin followed by 6.11 and 4.44 folds for Ciprofloxacin and 6.11 and 3.69 folds for Erythromycin for MRSA-185 and MRSA-325 , respectively. This activity of AgNPs and antibiotics could be valuable for the manufacture of hybrid drugs to kill or inhibit the MRSA infection especially in case of superficial injuries.

Fast and scalable algorithm for product large data on multicore system

Concurrency and Computation: Practice and Experience, 2019

SummaryThe problem of designing efficient parallel algorithms to calculate the product of n numbe... more SummaryThe problem of designing efficient parallel algorithms to calculate the product of n numbers when the multipliers are large is a fundamental problem in many applications of computer science such as cryptography. In this work, we present a new parallel algorithm on exclusive read shared memory model. The performance of the introduced algorithm is measured based on three factors, namely, (1) the number of cores, (2) the size of the array, and (3) the size of the multiplier. The experimental study on a multi core system reveals that the introduced algorithm is faster than the best‐known optimal parallel algorithm. The improvement of the proposed algorithm in processing time compared to the best known parallel algorithm is 80% when the size of the array was 220 and the sizes of the multiplier were 1024, 2048, and 4096 bits. Moreover, our algorithm is a highly scalable parallel algorithm compared with the best‐known optimal parallel algorithm.

Mapping association of molecular markers and sheath blight (Rhizoctonia solani) disease resistance and identification of novel resistance sources and loci in rice

Euphytica, 2018

Sheath blight (ShB) disease caused by Rhizoctonia solani is one of the major threats to rice crop... more Sheath blight (ShB) disease caused by Rhizoctonia solani is one of the major threats to rice crop worldwide. Progress in breeding for resistant rice varieties is limited due to lack of highly resistant germplasm against sheath blight. In present study, diverse rice landrace were phenotyped against R. solani and resistant and moderately resistant sources were identified from the panel of 134 germplasm pool. Landrace Nizam shait showed resistance, where as Bidar local-2, Jigguvaratiga, NavaliSali, Jaddu and Tetep exhibited moderate resistance. Population structure was analysed by genotyping the accessions using 63 genome wide Rice Microsatellite markers which divided the mapping panel into two groups. Association mapping using GLM ? Q model of TASSEL indicated significant association between twenty-one marker loci on nine chromosomes with ShB resistance with phenotypic variation (R 2) ranging 3.02-22.71 per cent. We identified 13 new markers to be associated with ShB resistance. The present work validates previously identified eight markers flanking different shB QTLs. None of the allele from the tested markers was unique and common among resistant and moderately resistant landraces identified in this work except allele 420 bp of RM337 and allele 310 bp of RM5556 noticed only in Tetep. Our findings predict the possible presence of unreported QTL region in marker interval of RM337 and RM5556 on chromosome 8 for ShB resistance in Tetep which invites further investigation.

Cold plasma approach fortifies the topical application of thymoquinone intended for wound healing via up-regulating the levels of TGF-ß, VEGF, and α-SMA in rats

International Immunopharmacology

Using Green Chemicals and Biological Control Agents for Controlling the Seed-Borne Pathogen Fusarium moniliforme in Sugar Beet

Journal of Plant Protection and Pathology

Seeds of fifteen sugar beet (Beta vulgaris L.) cultivars were collected in 2018 and 2019 in Egypt... more Seeds of fifteen sugar beet (Beta vulgaris L.) cultivars were collected in 2018 and 2019 in Egypt and screened for their seed-borne mycoflora using deep-freezing blotter method. Among those fungi recovered from sugar beet seeds, a plant pathogen Fusarium moniliforme was the most dominant. Thus, it was tested for its pathogenicity and transmission against sugar beet plants. Green chemicals (antioxidants) and biological control agents were used for suppressing F. moniliforme in comparison with Fludioxonil/Mefenoxam (Maxim XL 3.5% FS ® ; a chemical fungicide), Potassium silicate at concentrations (4, 6, 8, 10 and 12 ml/L), Nicotinic acid at concentrations (1, 5, 10, 15 and 20 mM/L), Trichoderma harzianum, T. hamatum and Bacillus subtilis were tested against F. moniliforme in vitro, in the greenhouse and in the field. The results assured that nicotinic acid at 5 mM/L, T. harzianum and T. hamatum and potassium silicate at 12 ml/L were the best treatments compared with the Maxim ® fungicide (control). But nicotinic acid at 5 mM/L was the most effective among all treatments.

Acceleration of Wheel Factoring Techniques

Mathematics

The efficiency with which an integer may be factored into its prime factors determines several pu... more The efficiency with which an integer may be factored into its prime factors determines several public key cryptosystems’ security in use today. Although there is a quantum-based technique with a polynomial time for integer factoring, on a traditional computer, there is no polynomial time algorithm. We investigate how to enhance the wheel factoring technique in this paper. Current wheel factorization algorithms rely on a very restricted set of prime integers as a base. In this study, we intend to adapt this notion to rely on a greater number of prime integers, resulting in a considerable improvement in the execution time. The experiments on composite numbers n reveal that the proposed algorithm improves on the existing wheel factoring algorithm by about 75%.

The Added Values Of Duplex Study And Cranial Ultrasonography In Clinically Suspected Preterm Brain Injury

Minia Journal of Medical Research

Accelerating the Wheel Factoring Techniques

The efficiency with which an integer may be factored into its prime factors determines several pu... more The efficiency with which an integer may be factored into its prime factors determines several public key cryptosystems′ security in use today. Although there is a quantum-based technique with a polynomial time for integer factoring, on a traditional computer, there is no polynomial time algorithm. We investigate how to enhance the wheel factoring technique in this paper. Current wheel factorization algorithms rely on a very restricted set of prime integers as a base. In this study, we intend to adapt this notion to rely on a greater number of prime integers, resulting in a considerable improvement in the execution time. The experiments on composite numbers n reveal that the proposed algorithm improves on the existing wheel factoring algorithm by about 75%

Arabic Sentences Semantic Similarity Based on Word Embedding

2022 20th International Conference on Language Engineering (ESOLEC)

Zamzam Water Ameliorates Gentamicin-Induced Testicular Toxicity in a Rat Model via Targeting Sperm Parameters, Testicular Tissue Oxidative Insult, Inflammation, Apoptosis, and Pituitary-Gonadal Axis

Toxics

Gentamicin is considered one of the most typical causes of testicular damage. Oxidative stress is... more Gentamicin is considered one of the most typical causes of testicular damage. Oxidative stress is a significant contributor to testicular tissue damage. Zamzam water (alkaline in nature) has an antioxidant effect. The purpose of this study was to assess the potential palliative effect of Zamzam water against gentamicin-induced testicular damage. Thirty Rats were separated into three groups, each with ten rats, as follows: The Control received only normal saline. The gentamicin group received 100 mg/kg/day of gentamicin intraperitoneally for six days from day 15 to the end of the experiment. The gentamicin +Zamzam Water group received a dose of gentamicin 100 mg/kg/day intraperitoneally with Zamzam water as their sole source of drinking from day one to day 21. Hormonal assay in serum, histological, immunohistochemical, and ultrastructural examination of testicular tissue with a molecular study were obtained. Pretreatment with Zamzam water significantly p < 0.001 increased serum le...

A deep learning content-based image retrieval approach using cloud computing

Indonesian Journal of Electrical Engineering and Computer Science

Due to the rapid growth in multimedia content and its visual complexity, contentbased image retri... more Due to the rapid growth in multimedia content and its visual complexity, contentbased image retrieval (CBIR) has become a very challenging task. Existing works achieve high precision values at first retrieval levels such as top 10 and top 20 images, but low precision values at subsequent levels such as top 40, 50, and 70, so the goal of this paper is to propose a new CBIR approach that achieves high precision values at all retrieval levels. The proposed method combines features extracted from the pre-trained AlexNet model and discrete cosine transform (DCT). Then principal components analysis (PCA) is performed on AlexNet’s features and feeding these combination to multiclass support vector machine (SVM). The euclidean distance is used to measure the similarity between query and stored images features within the predicted class by SVM. Finally top similar images are ranked and retrieved. All above techniques require huge computational power which may not be available on client machi...

An improved protocol for efficient regeneration, transformation and gene-editing using CRISPR/Cas9 in pigeonpea (Cajanus cajan(L.) Millsp.)

Background: Pigeonpea (Cajanus cajan (L.) Millsp.; 2n = 2× = 22) is a drought-tolerant perennial ... more Background: Pigeonpea (Cajanus cajan (L.) Millsp.; 2n = 2× = 22) is a drought-tolerant perennial grain legume commonly cultivated in India's rain-fed and dry land zones, and it is a remarkable natural source of minerals and protein worldwide. Despite decades of research, the constraints linked to tissue culture continues to hinder the genetic improvement of the crop for instances; the explants inability to produce an embryogenic calli, direct shoot formation, and limited regeneration potential, as well as a lack of an effective transformation system. Thereby, efficient calli production, in-vitro recovery, and a systematic technique to co-delivery of Cas9 and sgRNA into the plant remain pre-requisites for efficient genome alteration. Results: To establish a CRISPR/Cas9 based genome editing platform in pigeonpea, a CRISPR/Cas9 mediated binary vector for coherent gene modification (for example, knockout, Homology Donor Repair) was designed. Calli production was achieved at a rate o...

Implementation of Underwater Communication System powered by Solar Energy Harvesting

Proceedings of the 2019 8th International Conference on Software and Information Engineering, 2019

Underwater communication (UWC) has become a fast-growing research because two-thirds of earth is ... more Underwater communication (UWC) has become a fast-growing research because two-thirds of earth is covered by water. UWC is a promising field that is expected to revolutionise some applications such as; oil industry, pollution monitoring. Data collection from oceans, seas and rivers can play a vital role in detecting anomalies and discovering new resources. This paper proposes an Underwater Monitoring System (UMS) whereas the system has solar/light energy harvesting equipped with the nodes. These nodes are placed underwater to report the temperature of the water from time to another. UMS is tested on one master and two slave nodes whereas the master node is onshore of the beach, while the other two are submerged underwater. Moreover, the success rate and a number of transmitted packets per second are used to evaluate the system performance. Furthermore, two different types of solar panels are examined namely; amorphous and mono-crystalline. Further, different light sources are considered such as sunlight, LED and Halogen illumination. In addition, UMS is examined in terms of different containers materials as some Radio Frequency (RF) reflection signals might occur.

ASSD: Arabic Semantic Similarity Dataset

2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC), 2021

Finding semantic similarity between sentences is very useful in many NLP applications, such as in... more Finding semantic similarity between sentences is very useful in many NLP applications, such as information retrieval, plagiarism detection, information extraction, and machine translation. Limitations in Arabic language resources have led to a poor level of research in Arabic sentence similarity. This challenge makes identifying semantically similar sentences in Arabic even more difficult. This paper presents a new Arabic dataset for the sentence similarity task. This dataset can be used to help develop sentence similarity approaches. In addition, the main purpose of the created dataset is to evaluate the sentence similarity approach. The dataset has been collected from Wikipedia, an intermediate lexicon, and other WWW resources. This paper gives more details about the processes of collecting data, filtering, preprocessing the pairs of sentences and some statistics about the dataset, for building a benchmark for semantic textual similarity. The dataset is available for future research in this field. The experiment shows that the created dataset is an efficient tool for evaluating semantic similarity approaches for the Arabic language.

Multisource Smart Computer-Aided System for Mining COVID-19 Infection Data

Healthcare, 2022

In this paper, we approach the problem of detecting and diagnosing COVID-19 infections using mult... more In this paper, we approach the problem of detecting and diagnosing COVID-19 infections using multisource scan images including CT and X-ray scans to assist the healthcare system during the COVID-19 pandemic. Here, a computer-aided diagnosis (CAD) system is proposed that utilizes analysis of the CT or X-ray to diagnose the impact of damage in the respiratory system per infected case. The CAD was utilized and optimized by hyper-parameters for shallow learning, e.g., SVM and deep learning. For the deep learning, mini-batch stochastic gradient descent was used to overcome fitting problems during transfer learning. The optimal parameter list values were found using the naïve Bayes technique. Our contributions are (i) a comparison among the detection rates of pre-trained CNN models, (ii) a suggested hybrid deep learning with shallow machine learning, (iii) an extensive analysis of the results of COVID-19 transition and informative conclusions through developing various transfer techniques...

An efficient parallel strategy for high-cost prefix operation

The Journal of Supercomputing, 2020

The prefix computation strategy is a fundamental technique used to solve many problems in compute... more The prefix computation strategy is a fundamental technique used to solve many problems in computer science such as sorting, clustering, and computer vision. A large number of parallel algorithms have been introduced that are based on a variety of high-performance systems. However, these algorithms do not consider the cost of the prefix computation operation. In this paper, we design a novel strategy for prefix computation to reduce the running time for high-cost operations such as multiplication. The proposed algorithm is based on (1) reducing the size of the partition and (2) keeping a fixed-size partition during all the steps of the computation. Experiments on a multicore system for different array sizes and number sizes demonstrate that the proposed parallel algorithm reduces the running time of the best-known optimal parallel algorithm in the average range of 62.7-79.6%. Moreover, the proposed algorithm has high speedup and is more scalable than those in previous works.

Profiling of Avirulence Genes, Transposable Elements, Mating Type Alleles and Virulence Analysis in Magnaporthe oryzae Isolates

Semantic Representation Extraction from Unstructured Arabic Text

Proceedings of the 2019 8th International Conference on Software and Information Engineering, 2019

One of the crucial tasks in the Semantic Web research is extracting information from unstructured... more One of the crucial tasks in the Semantic Web research is extracting information from unstructured text and converting it into semantic form to be machine understandable. This semantic representation is useful for many purposes such as question answering, summarization and information retrieval. This paper provides a system for converting Arabic text into Resource Description Framework (RDF) semantic format. The proposed system includes syntactical parser that used to extract triples (subject-predicate-object) from preprocessed Arabic text. Moreover, name entity recognition is used to extract entities which mapped with DBpedia to get URIs. Finally, the corresponding RDF representation which captures semantics of Arabic text is generated.

Relation Extraction from Arabic Wikipedia

Indian Journal of Science and Technology, 2019

Objectives/Methods: This study aims to extract relations between entities from Arabic text. Relat... more Objectives/Methods: This study aims to extract relations between entities from Arabic text. RelationExtraction is one of the most important tasks in text mining. Relation extraction is considered as a main step for many applications such as extracting triples from the text, Question Answering and Ontology building. However, extracting relations from the Arabic text is a difficult task compared to English due to lack of annotated Arabic corpora. This paper proposes a method for extracting relations from Arabic text based on ArabicWikipedia articles characteristics.The propose system extracts sentences that contain principle entity, secondary entity and relation from Wikipedia article, then we use WordNet and DBpedia to build the training set. Finally Naive Bayes Classifier is used to train and test the datasets. Finding: There are few works to extract relations from Arabic text. These works depend on classification, clustering and rule based. Application/ improvement: The experiments show the effectiveness of the proposed approach which achieves high precision with 89% for classifying 19 type of semantic relations.

Toxicity of selenium nanoparticles on the development of rat neonates

African Journal of Biological Sciences, 2019

The present study aims to investigate the impact of selenium on the morphological, biochemical an... more The present study aims to investigate the impact of selenium on the morphological, biochemical and ultrastructural changes in the testes, ovaries and livers of mothers rats and their 14 days old age neonates by transmission electron microscopy. Female rats were dosed orally with distal water and 0.5, 1.7, and 6.0 mg Se/kg bw/day as (10-45) nm SeNPs, for 14 days old age neonates. At doses of 1.7 and 6.0 mg Se/kg bw/day, a lowering in body weight gain was recorded as compared with the control group. Decrease in Glutathione peroxidase (GPX) of moderate dose (MD) and high dose (HD) groups was explained as due to increase reactive oxygen species in body tissues. There was increase in oxidative status (GPX) of Low Dose (LD) comparing to control group. There were no histological changes in the liver, ovary and testes of the investigated neonates at LD , MD and HD groups. The toxicity of Se NPs on oxidation status and ultrastructure of ovaries and testes did not occur at low levels 0.5 mg Se/kg but appear with degrees of changes at high level Se NPs(1.7-6.0 mg Se/kg). The present results indicated that Se NPs were not toxic at supra-nutritional levels and can induce a positive effect on both neonate rats health at a dose of 0.5 μg Se/kg-bw and in mother rats growth, whereas the chronic toxicity will be induced by more than 1.7 μg Se/kg-bw.

Enhancement of Antibiotics activity by microbially synthesized silver nanoparticles

African Journal of Biological Sciences, 2019

Biological synthesis of nanoparticles is a promising approach that is comparatively inexpensive a... more Biological synthesis of nanoparticles is a promising approach that is comparatively inexpensive and eco-friendly. Among various microorganisms, actinobacteria have been found to be efficient in the synthesis of nanomaterials. In thisstudy, extracellular biosynthesis of silver nanoparticles (Ag-NPs) was investigated by mixing silver nitrate with culture filtrate of Streptomyces rochei strain MFA-37.The biosynthesized Ag-NPs were characterized by UV-Vis spectrophotometric analysis, and showed a peak of absorbance at 440 nm. Fourier transform infrared (FTIR) analysis showed amines and amides that are responsible for the stabilization of Ag-NPs. The morphology and size of nanoparticles were determined using high-resolution transmission electron microscopy, XRD and DLS techniques which indicated well dispersed, spherical Ag-NPs sized 2-20 nm, and the zeta potential of AgNPs reached-20.5 mV. Enhancement of antibacterial activity of fourteen antibiotics was conducted by combining antibiotics with synthesized AgNPs. The synergistic activities of AgNPs combination with antibiotics were determined using disc diffusion against two multi-drug resistant Staphylococcus aureus SA-185 and SA-325 recovered from Libya. The highest synergistic effects were 6.11 and 6.37 folds for Penicillin followed by 6.11 and 4.44 folds for Ciprofloxacin and 6.11 and 3.69 folds for Erythromycin for MRSA-185 and MRSA-325 , respectively. This activity of AgNPs and antibiotics could be valuable for the manufacture of hybrid drugs to kill or inhibit the MRSA infection especially in case of superficial injuries.

Fast and scalable algorithm for product large data on multicore system

Concurrency and Computation: Practice and Experience, 2019

SummaryThe problem of designing efficient parallel algorithms to calculate the product of n numbe... more SummaryThe problem of designing efficient parallel algorithms to calculate the product of n numbers when the multipliers are large is a fundamental problem in many applications of computer science such as cryptography. In this work, we present a new parallel algorithm on exclusive read shared memory model. The performance of the introduced algorithm is measured based on three factors, namely, (1) the number of cores, (2) the size of the array, and (3) the size of the multiplier. The experimental study on a multi core system reveals that the introduced algorithm is faster than the best‐known optimal parallel algorithm. The improvement of the proposed algorithm in processing time compared to the best known parallel algorithm is 80% when the size of the array was 220 and the sizes of the multiplier were 1024, 2048, and 4096 bits. Moreover, our algorithm is a highly scalable parallel algorithm compared with the best‐known optimal parallel algorithm.

Mapping association of molecular markers and sheath blight (Rhizoctonia solani) disease resistance and identification of novel resistance sources and loci in rice

Euphytica, 2018

Sheath blight (ShB) disease caused by Rhizoctonia solani is one of the major threats to rice crop... more Sheath blight (ShB) disease caused by Rhizoctonia solani is one of the major threats to rice crop worldwide. Progress in breeding for resistant rice varieties is limited due to lack of highly resistant germplasm against sheath blight. In present study, diverse rice landrace were phenotyped against R. solani and resistant and moderately resistant sources were identified from the panel of 134 germplasm pool. Landrace Nizam shait showed resistance, where as Bidar local-2, Jigguvaratiga, NavaliSali, Jaddu and Tetep exhibited moderate resistance. Population structure was analysed by genotyping the accessions using 63 genome wide Rice Microsatellite markers which divided the mapping panel into two groups. Association mapping using GLM ? Q model of TASSEL indicated significant association between twenty-one marker loci on nine chromosomes with ShB resistance with phenotypic variation (R 2) ranging 3.02-22.71 per cent. We identified 13 new markers to be associated with ShB resistance. The present work validates previously identified eight markers flanking different shB QTLs. None of the allele from the tested markers was unique and common among resistant and moderately resistant landraces identified in this work except allele 420 bp of RM337 and allele 310 bp of RM5556 noticed only in Tetep. Our findings predict the possible presence of unreported QTL region in marker interval of RM337 and RM5556 on chromosome 8 for ShB resistance in Tetep which invites further investigation.