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Chinese Journal of Chemistry 2016年第8期34卷 814-822页

作者： Alaa A. Hassan Nasr K. Mohamed Lamiaa E. abd EI-Haleem Stefan Brase Martin Nieger Chemistry Department Faculty of Science Minia University 61519 EI-Minia A. R. Egypt Institute of Organic Chemistry Karlsruhe Institute of Technology Fritz-Haber-Weg 6 76131 Karlsruhe Germany Laboratory of Inorganic Chemistry Department of Chemistry University of Helsinki P.O.Box55 (A. I. Virtasenaukio 1) 00014 Helsinki Finland

A one step synthesis protocol for the conversion of heteroylthiosemicarbazides and 2,3-dichloro-1,4-naphthoquinone to naphtho[2,3-d]thiazoles, naphtho[2,3-e][1,3,4]thiadiazines as well as bis(naphtho[2,3-d]thiazolyl)copper(II) derivatives is described. The products were conclusively confirmed by single crystal X-ray analyses. A mechanism for the formation of the products is presented.

关键词： heteroylthiosemicarbazides 2 3-dichloro-1 4-naphthoquinone naphtho[2 3-d]thiazoles naphtho[2 3-e][1 3 4]thiadiazines bis(naphtho[2 3-d]thiazolyl)copper(II) derivatives

Modification of colorimetric method based digital soil test kit for determination of macronutrients in oil palm plantation

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International Journal of Agricultural and Biological Engineering 2020年第4期13卷 188-197页

作者： Muhammad Yamin Wan Ishak bin Wan Ismail Muhamad Saufi bin Mohd Kassim Samsuzana Binti abd Aziz Farah Naz Akbar redmond r.Shamshiri Muhammad Ibrahim Benjamin Mahns Department of Farm Machinery&Power Faculty of Agricultural Engineering&TechnologyUniversity of AgricultureFaisalabad(38040)Pakistan Department of Biological and Agricultural Engineering Faculty of EngineeringUniversiti Putra Malaysia43400 UPM SerdangSelangorMalaysia Department of Allied Health Sciences Sargodha Medical CollegeUniversity of Sargodha(40100)Pakistan Leibniz Institute for Agricultural Engineering and Bioeconomy Max-Eyth-Allee 10014469 Potsdam-BornimGermany Department of Environmental Sciences&Engineering Government College University Faisalabad(38000)Pakistan

It is the need of time that oil palm farmers must perform the spatially planned soil analysis to know about the fertilizer sufficient and deficient zones of *** method is a suitable and fast solution of soil analysis for NPK determination using the digital soil test *** determination procedure with a digital soil test kit was undefined for oil ***,the digital soil test kit determines the passage of light through an opaque medium of soil solution with a specified ***,environmental light may interfere leading to wrong results of NPK ***,this equipment was non-incorporable with the controller of any VrT fertilizer *** this research,these issues were addressed and the NPK measurement procedure was defined for oil palm plantation by modifying the‘soil to water’ratio in sample soil solution with an optimum environmental light range of 18-23 W/m^(2).‘Soil to water’ratios were found for nitrogen,phosphorus and potassium as 0.31 to 5.00,1.00 to 5.00 and 4.50 to 5.00,respectively to fit the requirement of NPK for oil palm in the prescribed range of the *** study of modified digital soil test kit showed that 91.7%N,89.6%P and 93.8%K results of modified digital soil test kit were matched with analytical laboratory ***,the reliability of NPK results using digital soil test kit was enhanced,making the kit incorporable with the controller of variable rate fertilizer applicator through remote monitoring based data acquisition *** outcome of this research can be used in the development of an IoT network data fusion for dynamic assessment of the NPK variation in the soil and nutrient management in oil palm plantations.

关键词： digital soil test kit variable rate fertilizer applicator oil palm NPK measurement data acquisition system colorimetric method

Diffusion-weighted magnetic resonance imaging and micro-rNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus

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World Journal of Gastroenterology 2019年第11期25卷 1366-1377页

作者： Tarek Besheer Hatem Elalfy Mohamed abd El-Maksoud Ahmed abd El-razek Saher Taman Khaled Zalata Wagdy Elkashef Hossam Zaghloul Heba Elshahawy Doaa raafat Wafaa Elemshaty Eman Elsayed abdel-Hady El-Gilany Mahmoud El-Bendary Department of Tropical Medicine and Hepatology Mansoura Faculty of Medicine-Mansoura University Department of Diagnostic radiology Mansoura Faculty of Medicine-Mansoura University Department of Pathology Mansoura Faculty of Medicine-Mansoura University Department of Clinical Pathology Mansoura Faculty of Medicine-Mansoura University Department of Public Health and Preventive Medicine Mansoura Faculty of Medicine-Mansoura University

BACKGrOUND Diffusion-weighted magnetic resonance imaging has shown promise in the detection and quantification of hepatic fibrosis. In addition, the liver has numerous endogenous micro-rNAs(mirs) that play important roles in the regulation of biological processes such as cell proliferation and hepatic *** To assess diffusion-weighted magnetic resonance imaging and mirs in diagnosing and staging hepatic fibrosis in patients with chronic hepatitis *** This prospective study included 208 patients and 82 age-and sex-matched controls who underwent diffusion-weighted magnetic resonance imaging of the abdomen, mir profiling, and liver biopsy. Pathological scoring was classified according to the METAVIr scoring system. The apparent diffusion coefficient (ADC) and mir were calculated and correlated with pathological *** The ADC value decreased significantly with the progression of fibrosis, from controls(F0) to patients with early fibrosis(F1 and F2) to those with late fibrosis(F3 and F4)(median 1.92, 1.53, and 1.25 × 10^(-3) mm^2/s, respectively)(P = 0.001).The cut-off ADC value used to differentiate patients from controls was 1.83 × 10^(-3) mm^2/s with an area under the curve(AUC) of 0.992. Combining ADC and mir-200 b revealed the highest AUC(0.995) for differentiating patients from controls with an accuracy of 96.9%. The cut-off ADC used to differentiate early fibrosis from late fibrosis was 1.54 × 10^(-3) mm^2/s with an AUC of 0.866. The combination of ADC and mir-200 b revealed the best AUC(0.925) for differentiating early fibrosis from late fibrosis with an accuracy of 80.2%. The ADC correlated with mir-200 b(r =-0.61, P = 0.001), mir-21(r =-0.62, P = 0.001), and mir-29(r = 0.52,P = 0.001).CONCLUSION Combining ADC and mirs offers an alternative surrogate non-invasive diagnostic tool for diagnosing and staging hepatic fibrosis in patients with chronic hepatitis C.

关键词： Diffusion Magnetic resonance imaging Fibrosis Liver Hepatitis C virus Micro-rNA

Using the resistance Depending on the Magnetic and Electric Susceptibility to Derive the Equation of the Critical Temperature

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Natural Science 2014年第17期6卷 1286-1292页

作者： H. G. I. Hamza M. H. M. Hilo r. abd Elgani r. abd Elhai Mubarak Dirar Department of Physics Gazera University Hasahisa Sudan Department of Physics Sudan University of Science and Technology Khartoum Sudan

In this study the electromagnetic theory and quantum mechanics are utilized to find the resistivity in terms of electric and magnetic susceptibility in which the electron is considered as a wave. Critical temperature of the wire at which the resistance vanishes is found. In this case the resistance being imaginary which leads the real part of the resistance to real zero at critical temperature and the material becomes super conductor in this case. If one considers the motion of electron in the presence of inner magnetic field and resistance force, a new formula for the conductivity is to be found;this formula states that the material under investigation becomes a superconductor at critical temperature and depends on the strength of the magnetic field and friction resistance, and the substance conductivity is found to be super at all temperatures beyond the critical temperature.

关键词： Susceptibility Superconductivity Critical Temperature Permeability Permittivity

Suppression of NLrP3 inflammasome by ivermectin ameliorates bleomycin-induced pulmonary fibrosis

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2023年第8期24卷 723-733页

作者： Mai A.abd-ELMAWLA Heba r.GHAIAD Enas S.GAD Kawkab A.AHMED Maha abdELMONEM Department of Biochemistry Faculty of PharmacyCairo UniversityCairo 11562Egypt Department of Pharmaceutical Sciences Faculty of PharmacyKing Faisal UniversityAl-Ahsa 31982Saudi Arabia Department of Pharmacology and Toxicology Faculty of PharmacySinai UniversityIsmailia 45511Egypt Department of Pathology Faculty of Veterinary MedicineCairo UniversityCairo 12211Egypt

Ivermectin is a US Food and Drug Administration(FDA)-approved antiparasitic agent with antiviral and anti-inflammatory *** recent studies reported the possible anti-inflammatory activity of ivermectin in respiratory injuries,its potential therapeutic effect on pulmonary fibrosis(PF)has not been *** study aimed to explore the ability of ivermectin(0.6 mg/kg)to alleviate bleomycin-induced biochemical derangements and histological changes in an experimental PF rat *** can provide the means to validate the clinical utility of ivermectin as a treatment option for idiopathic *** results showed that ivermectin mitigated the bleomycin-evoked pulmonary injury,as manifested by the reduced infiltration of inflammatory cells,as well as decreased the inflammation and fibrosis ***,ivermectin decreased collagen fiber deposition and suppressed transforming growth factor-β1(TGF-β1)and fibronectin protein expression,highlighting its anti-fibrotic *** study revealed for the first time that ivermectin can suppress the nucleotide-binding oligomerization domain(NOD)-like receptor family pyrin domain-containing protein 3(NLrP3)inflammasome,as manifested by the reduced gene expression of NLrP3 and the apoptosis-associated speck-like protein containing a caspase recruitment domain(ASC),with a subsequent decline in the interleukin-1β(IL-1β)*** addition,ivermectin inhibited the expression of intracellular nuclear factor-κB(NF-κB)and hypoxia‑inducible factor‑1α(HIF-1α)proteins along with lowering the oxidative stress and apoptotic ***,this study revealed that ivermectin could ameliorate pulmonary inflammation and fibrosis induced by *** beneficial effects were mediated,at least partly,via the downregulation of TGF-β1 and fibronectin,as well as the suppression of NLrP3 inflammasome through modulating the expression of HIF‑1αand NF-κB.

关键词： Intra-tracheal instillation Immunohistochemistry Transforming growth factor-β1(TGF-β1) Nuclear factor-κB(NF-κB) Lung fibrosis

PITCHEr PLANTS rECOrDED FrOM BrIS FOrEST IN JAMBU BONGKOK,KUALA TrENGGANU,MALAYSIA

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湿地科学 2005年第3期3卷 183-189页

作者： Jumaat H Adam Nurulhuda Edy Muslim abdul Halim Hashim abd rahim Othman Hafiza abd Hamid Gire Kibe Gopir Lydia M Pilik ramlan Omar Muhammad Barzani Qasim Jumat Salimon Sahibin abd rahim Marlia Mohd Hanafiah School of Environmental and Natural resource Sciences Faculty of ScienceUniversity Kebangsaan Malaysia 43600 UKM BangiSelangorMalaysia

A dichotomous key and descriptions of the species of pitcher plants recorded from bris forest at Jambu Bongkok is *** species of pitcher plants were recognized from the study *** are Nepenthes rafflesiana,Nepenthes gracilis and Nepenthes *** species can easily be identified by their morphological *** gracilis differed from the other two species in having triangular stem,sessile leaves,winged leaf base,under lid surface of the pitcher sparsely covered with honey glands,inner pitcher cavity wall covered exposed digestive glands and very narrow peristome with the thickness of≤1 *** the other hand,Nepenthes rafflesiana and Nepenthes mirabilis have cylindrical stem,stalked leaves,semi-amplexicaul leaf base,under lid surface densely covered with honey glands,inner pitcher cavity wall covered with overarched digestive glands and broad peristome with a thickness of≥1 *** rafflesiana can be differentiated from Nepenthes mirabilis by its infundibulate upper pitcher,ellipsoidal lower pitcher,inner pitcher wall cavity wholly covered with digestive glands whereas Nepenthes mirabilis have tublose-ventricose upper and lower pitchers,inner pitcher cavity wall of both pitchers partly covered with digestive glands.

关键词： Nepenthes dichotomous key and taxonomy species tropic

Computer Modelling of Compact 28/38 GHz Dual-Band Antenna for Millimeter-Wave 5G Applications

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Computer Modeling in Engineering & Sciences 2023年第12期137卷 2867-2879页

作者： Amit V.Patel Arpan Desai Issa Elfergani Hiren Mewada Chemseddine Zebiri Keyur Mahant Jonathan rodriguez raed abd-Alhameed Department of Electronics and Communication Engineering Chandubhai S Patel Institute of Technology(CSPIT)Charotar University of Science and Technology(CHARUSAT)Changa388421India The Instituto de Telecomunica珲es Campus Universitário de SantiagoAveiro3810-193Portugal School of Engineering and Informatics University of BradfordBradfordBD71DPUK Electrical Engineering Department Prince Mohammad Bin Fahd UniversityAl Khobar31952Saudi Arabia Department of Electronics Laboratoire d’Electronique de Puissance et Commande Industrielle(LEPCI)University of Ferhat AbbasSétif19000Algeria

A four-element compact dual-band patch antenna having a common ground plane operating at 28/38 GHz is proposed formillimeter-wave communication systems in this ***-input-multiple-output(MIMO)antenna geometry consists of a slotted ellipse enclosed within a hollow circle which is orthogonally rotated with a connected partial ground at the *** overall size of the four elements MIMO antenna is 2.24λ×2.24λ(at 27.12GHz).The prototype of four-element MIMOresonator is designed and printed using rogers rTDuroid 5880 withε_(r)=2.2 and loss tangent=0.0009 and having a thickness of 0.8 *** covers dual-band having a fractional bandwidth of 15.7%(27.12-31.34 GHz)and 4.2%(37.21-38.81 GHz)for millimeter-wave applications with a gain of more than 4 dBi at both *** proposed antenna analysis in terms ofMIMOdiversity parameters(Envelope Correlation Coefficient(ECC)and Diversity Gain(DG))is also carried *** experimental result in terms of reflection coefficient,radiation pattern,gain and MIMOdiversity parameter correlates very well with the simulated ones that show the potential of the proposed design for MIMO applications at millimeter-wave frequencies.

关键词： Connected ground diversity parameters dual-band antenna fifth generation(5G) mmwave multiple input multiple output(MIMO)

robust Machine Learning Technique to Classify COVID-19 Using Fusion of Texture and Vesselness of X-ray Images

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1981-2004页

作者： Shaik Mahaboob Basha Victor Hugo Cde Albuquerque Samia Allaoua Chelloug Mohamed abd Elaziz Shaik Hashmitha Mohisin Suhail Parvaze Pathan Department of Electronics and Communication Engineering N.B.K.R.Institute of Science&TechnologyVidyanagarAndhra Pradesh524413India Department of Teleinformatics Engineering Federal University of CearáFortaleza60455-970Brazil Information Technology Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Mathematics Faculty of ScienceZagazig UniversityZagazig44519Egypt Faculty of Computer Science and Engineering Galala UniversitySuez435611Egypt Artificial Intelligence research Center(AIrC) College of Engineering and Information TechnologyAjman UniversityAjmanUnited Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblos13-5053Lebanon Department of Avionics Indian Institute of Space Science and TechnologyThiruvananthapuramKerala695547India Department of Veterinary Clinical Sciences University of MinnesotaSt.PaulMinnesota55108USA

Manual investigation of chest radiography(CXr)images by physicians is crucial for effective decision-making in COVID-19 ***,the high demand during the pandemic necessitates auxiliary help through image analysis and machine learning *** study presents a multi-threshold-based segmentation technique to probe high pixel intensity regions in CXr images of various pathologies,including normal *** information is extracted using gray co-occurrence matrix(GLCM)-based features,while vessel-like features are obtained using Frangi,Sato,and Meijering *** learning models employing Decision Tree(DT)and randomForest(rF)approaches are designed to categorize CXr images into common lung infections,lung opacity(LO),COVID-19,and viral pneumonia(VP).The results demonstrate that the fusion of texture and vesselbased features provides an effective ML model for aiding *** ML model validation using performance measures,including an accuracy of approximately 91.8%with an rF-based classifier,supports the usefulness of the feature set and classifier model in categorizing the four different ***,the study investigates the importance of the devised features in identifying the underlying pathology and incorporates histogrambased *** analysis reveals varying natural pixel distributions in CXr images belonging to the normal,COVID-19,LO,and VP groups,motivating the incorporation of additional features such as mean,standard deviation,skewness,and percentile based on the filtered ***,the study achieves a considerable improvement in categorizing COVID-19 from LO,with a true positive rate of 97%,further substantiating the effectiveness of the methodology implemented.

关键词： Chest radiography(CXr)image COVID-19 classifier machine learning random forest texture analysis

Heart-Net: AMulti-Modal Deep Learning Approach for Diagnosing Cardiovascular Diseases

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Computers, Materials & Continua 2024年第9期80卷 3967-3990页

作者： DeemaMohammed Alsekait Ahmed Younes Shdefat AymanNabil Asif Nawaz Muhammad rizwan rashid rana Zohair Ahmed Hanaa Fathi Diaa Salama abd Elminaam Department of Computer Science and Information Technology Applied CollegePrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia College of Engineering and Technology American University of the Middle EastEgaila15453Kuwait Faculty of Computers Science Misr International UniversityCairo11800Egypt University Institute of Information Technology—PMAS Arid Agriculture University Rawalpjndi46000Pakistan Department of Computer Science International Islamic UniversityIslamabad04436Pakistan Jadara research Center Jadara UniversityIrbid21110Jordan Information System Department Faculty of Computers and Artificial IntelligenceBenha UniversityBanha13511Egypt MEU research Unit Middle East UniversityAmman11831Jordan

Heart disease remains a leading cause of morbidity and mortality worldwide,highlighting the need for improved diagnostic *** diagnostics face limitations such as reliance on single-modality data and vulnerability to apparatus faults,which can reduce accuracy,especially with poor-quality ***,these methods often require significant time and expertise,making them less accessible in resource-limited *** technologies like artificial intelligence and machine learning offer promising solutions by integrating multi-modality data and enhancing diagnostic precision,ultimately improving patient outcomes and reducing healthcare *** study introduces Heart-Net,a multi-modal deep learning framework designed to enhance heart disease diagnosis by integrating data from Cardiac Magnetic resonance Imaging(MrI)and Electrocardiogram(ECG).Heart-Net uses a 3D U-Net for MrI analysis and a Temporal Convolutional Graph Neural Network(TCGN)for ECG feature extraction,combining these through an attention mechanism to emphasize relevant *** is performed using Optimized *** approach improves early detection,reduces diagnostic errors,and supports personalized risk assessments and continuous health *** proposed approach results show that Heart-Net significantly outperforms traditional single-modality models,achieving accuracies of 92.56%forHeartnetDataset Ⅰ(HNET-DSⅠ),93.45%forHeartnetDataset Ⅱ(HNET-DSⅡ),and 91.89%for Heartnet Dataset Ⅲ(HNET-DSⅢ),mitigating the impact of apparatus faults and image quality *** findings underscore the potential of Heart-Net to revolutionize heart disease diagnostics and improve clinical outcomes.

关键词： Heart diseases magnetic resonance imaging electrocardiogram deep learning classification

A Novel Power Curve Prediction Method for Horizontal-Axis Wind Turbines Using Artificial Neural Networks

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Energy Engineering 2021年第3期118卷 507-516页

作者： Vin Cent Tai Yong Chai Tan Nor Faiza abd rahman Chee Ming Chia Mirzhakyp Zhakiya Lip Huat Saw Centre for Modelling and Simulation Faculty of EngineeringBuilt Environment and Information TechnologySEGi UniversityPetaling Jaya47810Malaysia Mechanical Engineering Department Faculty of EngineeringBuilt Environment and Information TechnologySEGi UniversityPetaling Jaya47810Malaysia Lee Kong Chian Faculty of Engineering and Science UTARKajang43200Malaysia

Accurate prediction of wind turbine power curve is essential for wind farm planning as it influences the expected power *** methods require detailed wind turbine geometry for performance evaluation,which most of the time unattainable and impractical in early stage of wind farm *** significant amount of work has been done on fitting of wind turbine power curve using parametric and non-parametric models,little to no attention has been paid for power curve modelling that relates the wind turbine design *** paper presents a novel method that employs artificial neural network to learn the underlying relationships between 6 turbine design parameters and its power curve.A total of 198 existing pitch-controlled and active stall-controlled horizontal-axis wind turbines have been used for model training and *** results showed that the method is reliable and reasonably accurate,with average r^(2)score of 0.9966.

关键词： Wind turbine power curve artificial neural network HAWT