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A Lightweight Deep Learning-Based Model for Tomato Leaf Disease Classification

Computers, Materials & Continua 2023年第12期77卷 3969-3992页

作者： Naeem Ullah Javed Ali Khan sultan Almakdi Mohammed s.Alshehri Mimonah Al Qathrady eman Abdullah Aldakheel Doaa sami Khafaga Department of software Engineering University of Engineering and TechnologyTaxila4400Pakistan Department of Computer science Faculty of PhysicsEngineeringand Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Departments of Information systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Computer sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Tomato leaf diseases significantly impact crop production,necessitating early detection for sustainable *** Learning(DL)has recently shown excellent results in identifying and classifying tomato leaf ***,current DL methods often require substantial computational resources,hindering their application on resource-constrained *** propose the Deep Tomato Detection Network(DTomatoDNet),a lightweight DL-based framework comprising 19 learnable layers for efficient tomato leaf disease classification to overcome *** Convn kernels used in the proposed(DTomatoDNet)framework is 1×1,which reduces the number of parameters and helps in more detailed and descriptive feature extraction for *** proposed DTomatoDNet model is trained from scratch to determine the classification success rate.10,000 tomato leaf images(1000 images per class)from the publicly accessible dataset,covering one healthy category and nine disease categories,are utilized in training the proposed DTomatoDNet *** specifically,we classified tomato leaf images into Target spot(Ts),Early Blight(EB),Late Blight(LB),Bacterial spot(Bs),Leaf Mold(LM),Tomato Yellow Leaf Curl Virus(YLCV),septoria Leaf spot(sLs),spider Mites(sM),Tomato Mosaic Virus(MV),and Tomato Healthy(H).The proposed DTomatoDNet approach obtains a classification accuracy of 99.34%,demonstrating excellent accuracy in differentiating between tomato *** model could be used on mobile platforms because it is lightweight and designed with fewer *** farmers can utilize the proposed DTomatoDNet methodology to detect disease more quickly and easily once it has been integrated into mobile platforms by developing a mobile application.

关键词： CNN deep learning DTomatoDNet tomato leaf disease classification smart agriculture

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Gestational age-specific neonatal mortality in Hong Kong:a population-based retrospective study

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World Journal of Pediatrics 2023年第2期19卷 158-169页

作者： Xue-Lian Wang eman Leung Genevieve Po Gee Fung Hugh simon Lam Department of Neonatology Guangzhou Women and Children’s Medical CenterGuangzhou Medical UniversityGuangdong Provincial Clinical Research Center for Child HealthGuangzhouChina Department of Paediatrics Faculty of MedicineThe Chinese University of Hong KongHong Kong SARChina The Jockey Club school of Public Health and Primary Care Faculty of MedicineThe Chinese University of Hong KongHong Kong SARChina Department of Paediatrics 6/F Lui Che Woo Clinical Sciences BuildingPrince of Wales HospitalSha TinNew TerritoriesHong Kong SARChina

Background The neonatal period is the most vulnerable period during childhood,with the risk of death being the highest even in developed countries/*** Kong’s neonatal mortality(1‰)is among the world’s lowest and has remained similar for 15 *** study aimed to explore neonatal deaths in Hong Kong in detail and determine whether neonatal mortality is reducible at such a low *** Live births in public hospitals in Hong Kong during 01 Jan 2006–31 Dec 2017 were *** data were extracted from the electronic medical *** age-specific mortality was calculated,and the trends were analyzed using the Cochran–Armitage trend *** of death were summarized,and risk factors were identified in multivariate logistic regression *** In 490,034 live births,755 cases(1.54‰)died during the neonatal period,and 293(0.6‰)died during the post-neonatal *** neonatal mortality remained similar overall(P=0.17)and among infants born at 24–29 weeks’gestation(P=0.4),while it decreased in those born at 23(P=0.04),30–36(Ps’*** born ats’gestation accounted for a significantly increased proportion among cases who died(27.6%to 51.9%),with hemorrhagic conditions(24%)being the leading cause of *** anomalies were the leading cause of death in neonates born≥27 weeks’gestation(52%),but its cause-specific mortality decreased(P=0.002,0.6‰to 0.41‰),with most of the decrease attributed to trisomy 13/18 and multiple *** Reduction of neonatal mortality in developed regions may heavily rely on improved quality of perinatal and neonatal care among extremely preterm infants.

关键词： Cause of death Neonatal mortality Population based Risk factor Trend

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Ameliorative effects of melatonin and zinc oxide nanoparticles treatment against adverse effects of busulfan induced infertility in male albino mice

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BIOCELL 2022年第2期46卷 535-545页

作者： AMOURA M.ABOU-EL-NAGA sHAKER A.MOUsA FAYEZ ALTHOBAITI eman FAYAD ENGY s.FAHIM Department of Zoology Faculty of ScienceMansoura UniversityMansouraEgypt The Pharmaceutical Research Institute Albany College of Pharmacy and Health SciencesRensselaerUSA Department of Biotechnology Faculty of SciencesTaif UniversityTaifSaudi Arabia

Testicular damage is one of the most hazardous effects as it’s associated with ***(Bu)is a highly toxic chemotherapeutic drug that affects *** male swiss albino mice divided into six groups of 5 animals ***(oral 0.9%saline daily for 75 days);Mel(20 mg/kg/day orally for 30 days);ZnO NPs(5 mg/kg/day *** 30 days);BU(single *** of 40 mg/kg and then left for 45 days);BU+Mel(single 40 mg/kg dose of BU and left for 45 days followed by 20 mg/kg/day Mel for 30 days);BU+ZnO NPs(single dose of 40 mg/kg of BU and left for 45 days,then 5 mg/kg/day ZnO NPs for 30 days).Preparation and Characterization of ZnO *** from testis prepared for ultrastructural investigations using TEM after Masson’s trichrome and toluidine blue *** induced histological and ultrastructural damage of the ***,the present results could be concluded that Mel or ZnO NPs can protect the testicular tissue against ultrastructural alterations induced by BU by its antioxidant and anti-apoptotic effects.

关键词： Busulfan Melatonin Zinc oxide nanoparticles Ultrastructure Testis Mice

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Liver stiffness as a predictor of hepatocellular carcinoma behavior in patients with hepatitis C related liver cirrhosis

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Hepatobiliary & Pancreatic Diseases International 2020年第1期19卷 22-28页

作者： sameh A Lashen Mohamed M Elshafei Fahmy H Hablass eman A Alsayed Asmaa A Hassan Department of Internal Medicine Faculty of MedicineUniversity of AlexandriaAlexandriaEgypt Department of Radiology Faculty of MedicineUniversity of AlexandriaAlexandriaEgypt Department of Biomedical Informatics and Medical statistics Medical Research InstituteUniversity of AlexandriaAlexandriaEgypt

Background: Risk strati cation and prognostication of hepatocellular carcinoma (HCC) help to improve patient outcome. Herein we investigated the role of liver stiffness measurement (LsM) in the prediction of HCC behavior. Methods: Totally 121 na ve patients with HCC were included. HCC radiological evaluation and staging were done. LsM was measured using virtual touch quanti cation. Patients were divided into early to intermediate HCC (BCLC-0, A and B) and late HCC (BCLCC and D). HCC was treated according to the BCLC stage. HCC recurrence-free interval was estimated. Results: The mean LsM inside the tumor was signi cantly lower than the peri-tumoral area and the cirrhotic non-cancerous liver parts (Ps stage, the mean LsM inside the tumor and in the peri-tumoral tissue was lower than the corresponding values in the early to intermediate HCCs stage (PsM inside the tumor and in the peri-tumoral tissue negatively correlated with serum AFP, tumor vascular invasion, and stage (Ps directly correlated to LsM inside the tumor and inversely to LsM in cirrhotic non tumorous liver part. Kaplan-Meier analysis showed that the recurrence-free interval was signi cantly longer in patients with LsM inside the tumor of ≥1.25m/s compared to those with LsM inside the tumor ofs. Conclusions: LsM can serve as a potential non-invasive predictor for HCC clinical behavior and the recurrence-free interval following loco-regional treatments.

关键词： Fibrosis Hepatitis C Hepatocellular carcinoma Point shear wave Liver cirrhosis

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synthesis, in vitro antitumor activity and molecular modeling studies of a new series of benzothiazole schiff bases

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Chinese Chemical Letters 2016年第3期27卷 380-386页

作者： Moustafa T.Gabr Nadia s.El-Gohary eman R.El-Bendary Mohamed M.El-Kerdawy Nanting Ni Department of Medicinal Chemistry Faculty of Pharmacy Mansoura University Mansoura 35516 Egypt Department of Chemistry Ceorgia State University Atlanta CA 30303 USA

A new series of benzothiazole schiff bases 3–29 was synthesized and screened for antitumor activity against cervical cancer（Hela） and kidney fibroblast cancer（COs-7） cell lines. Results indicated that compounds 3, 14, 19, 27 and 28 have promising activity against Hela cell line with IC50 values of 2.41,3.06, 6.46, 2.22 and 6.25 mmol/L, respectively, in comparison to doxorubicin as a reference antitumor agent（IC50 2.05 mmol/L）. In addition, compound 3 displayed excellent activity against COs-7 cell line with IC50 value of 4.31 mmol/L in comparison to doxorubicin（IC50 3.04 mmol/L）. In the present work,structure based pharmacophore mapping, molecular docking, protein-ligand interaction, fingerprints and binding energy calculations were employed in a virtual screening strategy to identify the interaction between the compounds and the active site of the putative target, EGFR tyrosine kinase. Molecular properties, toxicity, drug-likeness, and drug score profiles of compounds 3, 14, 19, 27, 28 and 29 were also assessed.

关键词： Benzothiazole schiff bases Antitumor activity Molecular modeling In silico studies

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An Automated system for Early Prediction of Miscarriage in the First Trimester Using Machine Learning

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Computers, Materials & Continua 2023年第4期75卷 1291-1304页

作者： sumayh s.Aljameel Malak Aljabri Nida Aslam Dorieh M.Alomari Arwa Alyahya shaykhah Alfaris Maha Balharith Hiessa Abahussain Dana Boujlea eman s.Alsulmi Department of Computer science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Computer science Department College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Computer Engineering College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Obstetrics and Gynecology College of MedicineImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia

Currently, the risk factors of pregnancy loss are increasing andare considered a major challenge because they vary between cases. The earlyprediction of miscarriage can help pregnant ladies to take the needed careand avoid any danger. Therefore, an intelligent automated solution must bedeveloped to predict the risk factors for pregnancy loss at an early stage toassist with accurate and effective diagnosis. Machine learning (ML)-baseddecision support systems are increasingly used in the healthcare sector andhave achieved notable performance and objectiveness in disease predictionand prognosis. Thus, we developed a model to help obstetricians predictthe probability of miscarriage using ML. And support their decisions andexpectations about pregnancy status by providing an easy, automated way topredict miscarriage at early stages using ML tools and techniques. Althoughmany published papers proposed similar models, none of them used saudiclinical data. Our proposed solution used ML classification algorithms tobuild a miscarriage prediction model. Four classifiers were used in this study:decision tree (DT), random forest (RF), k-nearest neighbor (KNN), andgradient boosting (GB). Accuracy, Precision, Recall, F1-score, and receiveroperating characteristic area under the curve (ROC-AUC) were used to evaluatethe proposed model. The results showed that GB overperformed the otherclassifiers with an accuracy of 93.4% and ROC-AUC of 97%. This proposedmodel can assist in the early identification of at-risk pregnant women to avoidmiscarriage in the first trimester and will improve the healthcare sector insaudi Arabia.

关键词： Miscarriage pregnancy abortion machine learning gradient boosting

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Cardiac Arrhythmia Disease Classifier Model Based on a Fuzzy Fusion Approach

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Computers, Materials & Continua 2023年第5期75卷 4485-4499页

作者： Fatma Taher Hamoud Alshammari Lobna Osman Mohamed Elhoseny Abdulaziz shehab eman Elayat College of Technological Innovation Zayed UniversityDubaiUAE Department of Information systems College of Computer and Information SciencesJouf UniversitySakakaSaudi Arabia Department of Electronics and Communications Engineering Delta Higher Institute for Engineering&TechnologyMansouraEgypt College of Computing and Informatics University of SharjahSharjahUnited Arab Emirates Department of Information systems Mansoura UniversityMansoura35516Egypt Department of Teacher Preparation Faculty of Specific EducationMansoura UniversityMansouraEgypt

Cardiac diseases are one of the greatest global health *** to the high annual mortality rates,cardiac diseases have attracted the attention of numerous researchers in recent *** article proposes a hybrid fuzzy fusion classification model for cardiac arrhythmia *** fusion model is utilized to optimally select the highest-ranked features generated by a variety of well-known feature-selection *** ensemble of classifiers is then applied to the fusion’s *** proposed model classifies the arrhythmia dataset from the University of California,Irvine into normal/abnormal classes as well as 16 classes of ***,at the preprocessing steps,for the miss-valued attributes,we used the average value in the linear attributes group by the same class and the most frequent value for nominal ***,in order to ensure the model optimality,we eliminated all attributes which have zero or constant values that might bias the results of utilized *** preprocessing step led to 161 out of 279 attributes(features).Thereafter,a fuzzy-based feature-selection fusion method is applied to fuse high-ranked features obtained from different heuristic feature-selection *** short,our study comprises three main blocks:(1)sensing data and preprocessing;(2)feature queuing,selection,and extraction;and(3)the predictive *** proposed method improves classification performance in terms of accuracy,F1measure,recall,and precision when compared to state-of-the-art *** achieves 98.5%accuracy for binary class mode and 98.9%accuracy for categorized class mode.

关键词： Cardiac arrhythmia preprocessing missing values classification model fusion

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Predictors of spontaneous Bacterial Peritonitis in Patients with Cirrhotic Ascites

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Journal of Clinical and Translational Hepatology 2018年第4期6卷 372-376页

作者： Khaled Metwally Tamer Fouad Medhat Assem eman Abdelsameea Mohamed Yousery Hepatology and Gastroenterology department National Liver InstituteMenoufia UniversityEgypt

Background and Aims:spontaneous bacterial peritonitis(sBP)is a serious complication of liver cirrhosis and a prognostic model to predict it is *** study was designed to test the ability of different laboratory tests and the new scoring system by Wehmeyer and colleagues(consisting of age,C-reactive protein(CRP)and platelet count)to predict ***:Three-hundred patients admitted to the National Liver Institute,University of Menoufia,Egypt(2015-2016)with liver cirrhosis and ascites were included in our *** was diagnosed if ascetic neutrophil count was≥250/μL with no sign of secondary ***:The patient population had age range of 29-81 years old,was 60%men and showed a majority(91.7%)with primary cause of liver disease being hepatitis *** univariate analysis,associations with age,total bilirubin,aspartate aminotransferase level,creatinine level,international normalized ratio,model for endstage liver disease score,total leucocytic count,platelet count and CRP level were *** multivariate analysis,independent predictors were age,platelet count and CRP level(p=0.004,0.013 andspectively).CRP at a cut-off point≥13.5 mg/L could predict sBP(sensitivity of 86.4%and specificity of 66.0%).Wehmeyer's sBP scoring system was predictive(ps with 0 score developed sBP(CRP cut-off of 30 mg/L),while 92.8%with score of 3 or 4 developed *** using our modified Wehmeyer score with CRP cut-off value of 13.5 mg/L,no patient with 0 score developed ***:Age,CRP level and platelet count are independent predictors for sBP and a scoring system including them could easily predict the *** diagnosis could be excluded in patients with 0 score,using CRP cut-off value of 13.5 mg/L.

关键词： CRP Predictors sBP Cirrhosis scoring

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Monocyte/Macrophage-Mediated Innate Immunity in HIV-1 Infection:From Early Response to Late Dysregulation and Links to Cardiovascular Diseases Onset

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Virologica sinica 2021年第4期36卷 565-576页

作者： eman Teer Danzil E.Joseph Richard H.Glashoff M.Faadiel Essop Centre for Cardio-metabolic Research in Africa(CARMA) Department of Physiological SciencesStellenbosch UniversityStellenbosch 7600South Africa Division of Medical Microbiology&Immunology Department of PathologyStellenbosch University and NHLSCape Town 7505South Africa

Although monocytes and macrophages are key mediators of the innate immune system,the focus has largely been on the role of the adaptive immune system in the context of human immunodeficiency virus(HIV)*** more attention and research work regarding the innate immune system-especially the role of monocytes and macrophages during early HIV-1 infection-is *** monocytes and tissue macrophages are both susceptible targets of HIV-1 infection,and the early host response can determine whether the nature of the infection becomes pathogenic or *** example,monocytes and macrophages can contribute to the HIV reservoir and viral persistence,and influence the initiation/extension of immune activation and chronic *** the expansion of monocyte subsets(classical,intermediate and non-classical)provide an increased understanding of the crucial role they play in terms of chronic inflammation and also by increasing the risk of coagulation during HIV-1 *** review discusses the role of monocytes and macrophages during HIV-1 pathogenesis,starting from the early response to late dysregulation that occurs as a result of persistent immune activation and chronic *** changes are also linked to downstream targets such as increased coagulation and the onset of cardiovascular diseases.

关键词： Monocytes Human immunodeficiency virus(HIV) Persistent immune activation Coagulation Cardiovascular diseases(CVD)

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Validation of a novel imaging approach using multi-slice CT and cone-beam CT to follow-up on condylar remodeling after bimaxillary surgery

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International Journal of Oral science 2017年第3期9卷 139-144页

作者： laura ferreira pinheiro nicolielo jeroen van dessel eman shaheen carolina letelier marina codari constantinus politis ivo lambrichts reinhilde jacobs omfs-impath research group department of imaging and pathologyfaculty of medicineuniversity of leuven and maxillofacial surgery departmentuniversity hospitals leuvenLeuvenBelgium department of oral and maxillofacial radiology university of los andessantiagochileSantiagoChile unit of radiology irccs policlinico san donato MilaneseMilanItaly department of morphology faculty of medicineuniversity of hasseltcampusDiepenbeekBelgium department of dental medicine karolinska institutetHuddingeSweden

The main goal of this study was to introduce a novel three-dimensional procedure to objectively quantify both inner and outer condylar remodelling on preoperative multi-slice computed tomography （MsCT） and postoperative cone-beam computed tomography （CBCT） images. second, the reliability and accuracy of this condylar volume quantification method was assessed. The mandibles of 20 patients （11 female and 9 male） who underwent bimaxillary surgery were semi-automatically extracted from MsCT/CBCT scans and rendered in 3D. The resulting condyles were spatially matched by using an anatomical landmark-based registration procedure. A standardized sphere was created around each condyle, and the condylar bone volume within this selected region of interest was automatically calculated. To investigate the reproducibility of the method, inter- and intra-observer reliability was calculated for assessments made by two experienced radiologists twice five months apart in a set of ten randomly selected patients. To test the accuracy of the bone segmentation, the inner and outer bone structures of one dry mandible, scanned according to the clinical set-up, were compared with the gold standard, micro-CT. Thirty-eight condyles showed a significant （P〈O.05） mean bone volume decrease of 26.4%_ 11.4% （502.9 mm3＋ 268.1 mm3）. No significant effects of side, sex or age were found. Good to excellent （ICC〉 0.6） intra- and inter-observer reliability was observed for both MsCT and CBCT. Moreover, the bone segmentation accuracy was less than one voxel （0.4 mm） for MsCT （0.3 mm __. 0.2 mm） and CBCT （0.4 mm _ 0.3 mm）, thus indicating the clinical potential of this method for objective follow-up in pathological condylar resorption.

关键词： condylar resorption Cone-beam computed tomography mandibular condyle multi-slice computed tomography three-dimensional imaging

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