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International Journal of Biomathematics 2024年第5期17卷 229-256页

作者： Hiba el Asraoui m'hamed el Omari Ali el mfadel Khalid Hilal Laboratory of Applied mathematics Scientific Computing Sultan moulay Slimane University BP 523 Beni MellalMorocco

In this paper,we investigate the existence of solutions and analyze the large-time behavior for Gurtin-maccamy population model involving conformable fractional *** a preliminary step,we construct a generic structure of the solution associated with our proposed model by utilizing some basic properties and tools of conformable fractional *** establish the existence of a unique solution of the given model with the given initial *** last,by using the upper and lower solutions for the characteristic equation,we define the upper and lower boundaries for the obtained solution and describe the large-time behavior of the total population.

关键词： Age-dependent population conformable fractional operator upper and lower boundary of the solution dynamics of populations

Pyronaridine combined with diminazene aceturate inhibits Babesia in vitro and in vivo

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Asian Pacific Journal of Tropical Biomedicine 2024年第3期14卷 93-99页

作者： Shimaa abd el-Salam el-Sayed mohamed Z.Sayed-Ahmed Shaimaa Ahmed Awad Ali Nourah Alsadaan Nawazish Alam mahmoud S.Alkhoudary Ikuo Igarashi mohamed abdo Rizk National Research Center for Protozoan Diseases Obihiro University of Agriculture and Veterinary MedicineInada-ChoObihiroHokkaido 080-8555Japan Department of Biochemistry and Chemistry of Nutrition Faculty of Veterinary MedicineMansoura UniversityMansoura 35516Egypt Department of Clinical Pharmacy College of PharmacyJazan UniversityJazan 45142Saudi Arabia medical-Surgical Department College of NursingJouf UniversitySakaka 72388Saudi Arabia Critical Care and Emergency Nursing Faculty of NursingMansoura UniversityEgypt College of Nursing Jouf UniversitySakaka 72388Saudi Arabia Faculty of Pharmacy Mansoura UniversityMansoura 35516DakahliaEgypt Department of Internal medicine and Infectious Diseases Faculty of Veterinary MedicineMansoura UniversityMansoura 35516Egypt

Objective:To evaluate the combination therapy of pyronaridine tetraphosphate and diminazene aceturate against Babesia in vitro and in ***:Bioinformatic analysis was performed using atom pair *** in vitro combination test was performed against Babesia bovis and Theileria ***,the in vivo chemotherapeutic efficacy of pyronaridine tetraphosphate in combination with diminazene aceturate was investigated against the growth of Babesia microti in mice using a fluorescence inhibitory ***:Pyronaridine tetraphosphate and diminazene aceturate exhibited nearly similar molecular *** in vitro combination of pyronaridine tetraphosphate and diminazene aceturate was synergistic on Babesia bovis and additive on Theileria *** addition,5 mg/kg pyronaridine tetraphosphate combined with 10 mg/kg diminazene aceturate inhibited Babesia microti growth significantly compared with those observed after treatment with 25 mg/kg diminazene aceturate alone from day 6 post treatment to day 12 post *** combination therapy also normalized the hematological parameters of infected ***:An oral dose of pyronaridine tetraphosphate combined with a subcutaneous dose of diminazene aceturate inhibits Babesia in vitro and in mice,suggesting it might be a new paradigm for the treatment of babesiosis.

关键词： Babesia Pyronaridine tetraphosphate Diminazene aceturate Babesiosis Theileria

Rising tide: The global surge of type 2 diabetes in children and adolescents demands action now

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World Journal of Diabetes 2024年第5期15卷 797-809页

作者： Joseph m Pappachan Cornelius James Fernandez Ambika P ashraf Department of Endocrinology and metabolism Lancashire Teaching Hospitals NHS TrustPreston PR29HTUnited Kingdom Faculty of Science Manchester Metropolitan UniversityManchester M156BHUnited Kingdom Faculty of Biology Medicine&HealthThe University of ManchesterManchester M139PLUnited Kingdom Department of Endocrinology&metabolism Pilgrim HospitalUnited Lincolnshire Hospitals NHS TrustBoston PE219QSUnited Kingdom Division of Pediatric Endocrinology and Diabetes Department of PediatricsUniversity of Alabama at BirminghamBirminghamAL 35233United States

Childhood-onset obesity has emerged as a major public healthcare challenge across the globe,fueled by an obesogenic environment and influenced by both genetic and epigenetic *** has led to an exponential rise in the incidence of type 2 diabetes mellitus in children and *** looming wave of diabetes-related complications in early adulthood is anticipated to strain the healthcare budgets in most *** there is a collective global effort to curb the devastation caused by the situation,the impact is poised to be pro-found.A multifaceted research effort,governmental legislation,and effective social action are crucial in attaining this *** article delves into the current epidemiological landscape,explores evidence concerning potential risks and consequences,delves into the pathobiology of childhood obesity,and discusses the latest evidence-based management strategies for diabesity.

关键词： Childhood obesity Diabesity Type 2 diabetes mellitus Adolescence Cardiovascular disease Pharmacotherapy

Langmuir-Schaefer Film Investigation and Density Functional Theory Band Gap Calculations of Calix[n]arene-Para-Aminobenzoic Acid for Drug Nanosensor Application

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Journal of Wuhan University of Technology(materials Science) 2024年第5期39卷 1311-1318页

作者： WONG Yeong Yi F L Supian A Radzwan m musa N F N abd Karim Department of Physics Sultan Idris Education UniversityTanjong Malim 35900Malaysia Department of Chemistry Sultan Idris Education UniversityTanjong Malim 35900Malaysia

Calix[n]arenes was utilized to detect PABA,the primary sunscreen *** study investigates the interaction of calix[4]arene(C4),calix[6]arene(C6),and PABA using the Langmuir method and first-principle density functional theory(DFT).Using the Langmuir-Schaefer(LS)technique,an ultrathin film composed of calix[n]arenes and their complexes with PABA was deposited on various *** on the Langmuir study,the PABA molecule was bonded to the lower rims of both C4 and C6 with the host-guest ratio of 1:*** of the LS films formed were then characterized by ultravioletvisible spectroscopy(UV-Vis),Fourier-transform infrared spectroscopy(FTIR)and carbon,hydrogen,nitrogen,sulfur elemental analyzer(CHNS).The band gap reduction obtained in the DFT study denotes the charge transfer interaction with promising reactivity between the calix[n]arenes and *** sensing of PABA by C4 and C6 is successful based on the formation of bonding between them due to the hosts’effective trapping *** outcomes of this study could be applied to drug delivery systems for future pharmaceutical and medical applications.

关键词： calix[n]arenes band gap density functional theory Langmuir-Schaefer PABA sensor

A whole-building data-driven fault detection and diagnosis approach for public buildings in hot climate regions

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Energy and Built Environment 2024年第6期5卷 911-932页

作者： ashraf Alghanmi Akilu Yunusa-Kaltungo Department of mechanical Aerospace and Civil Engineering(MACE)University of ManchesterM139PLUK Department of mechanical Engineering Technology Yanbu Industrial CollegeYanbu Al-Sinaiyah City 41912Saudi Arabia

Fault detection and diagnosis(FDD)approaches comprise three main pillars:model-based,knowledge-based,and data-driven ***-driven approaches prioritise operational data and do not necessitate in-depth understanding of the system’s background;yet,significant amounts of data is required,which often poses challenges to *** simulated data is inexpensive and can run numerous faults types with varying severities and time periods,it has been used in data-driven FDD ***,the majority of FDD approaches are implemented at the system level of ***,most buildings have numerous systems with distinct ***,using individualised system-level analysis makes it difficult to see system-to-system ***,there is a significant underrepresentation of research that investigate the applications of FDD models under whole-building scenarios,so as to identify a wider range of energy consumption related faults in ***,since data-driven approaches significantly depend on the quantities of training data,it becomes challenging to diagnose faults that have limited *** a result,this study diagnoses numerous building systems faults,including single and simultaneous faults with limited *** is implemented within the context of the whole-building energy performance of religious buildings in hot climatic areas,employing data-driven FDD *** multi-class classification approaches were investigated to classify both the normal condition and faulty ***,feature extraction methodologies were compared to quantify their potential for improving the *** addition to the classification evaluation metrics,one-way ANOVA and Tukey-Kramer tests were implemented to examine the significance of the reported performance *** classifier obtained highest classification accuracy during validation and testing with about 90%,indicating a promising performance in w

关键词： Building energy performance Building maintenance Fault detection and diagnosis(FDD) multi-class classification Feature extraction

A Low Complexity mL-Based methods for malware Classification

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Computers, materials & Continua 2024年第9期80卷 4833-4857页

作者： mahmoud E.Farfoura Ahmad Alkhatib Deema mohammed Alsekait mohammad Alshinwan Sahar A.el-Rahman Didi Rosiyadi Diaa Salama abd elminaam Cybersecurity Department Al-Zaytoonah University of JordanAmman11733Jordan Department of Computer Science and Information Technology Applied CollegePrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Faculty of Information Technology Applied Science Private UniversityAmman11931Jordan Computer Systems Program-electrical Engineering Department Faculty of Engineering-ShoubraBenha UniversityCairo11629Egypt Research Center for Artificial Intelligence and Cybersecurity Electronics and Informatics OrganizationNational Research and Innovation Agency(BRIN)KST Samaun SamadikunBandung40135Republic of Indonesia Jadara Research Center Jadara UniversityIrbid21110Jordan mEU Research Unit Middle East UniversityAmman11831Jordan

The article describes a new method for malware classification,based on a machine Learning(mL)model architecture specifically designed for malware detection,enabling real-time and accurate malware *** an innovative feature dimensionality reduction technique called the Interpolation-based Feature Dimensionality Reduction Technique(IFDRT),the authors have significantly reduced the feature space while retaining critical information necessary for malware *** technique optimizes the model’s performance and reduces computational *** proposed method is demonstrated by applying it to the BODmAS malware dataset,which contains 57,293 malware samples and 77,142 benign samples,each with a 2381-feature *** the IFDRT method,the dataset is transformed,reducing the number of features while maintaining essential data for accurate *** evaluation results show outstanding performance,with an F1 score of 0.984 and a high accuracy of 98.5%using only two reduced *** demonstrates the method’s ability to classify malware samples accurately while minimizing processing *** method allows for improving computational efficiency by reducing the feature space,which decreases the memory and time requirements for training and *** new method’s effectiveness is confirmed by the calculations,which indicate significant improvements in malware classification accuracy and *** research results enhance existing malware detection techniques and can be applied in various cybersecurity applications,including real-timemalware detection on resource-constrained *** and scientific contribution lie in the development of the IFDRT method,which provides a robust and efficient solution for feature reduction in mL-based malware classification,paving the way for more effective and scalable cybersecurity measures.

关键词： malware detection mL-based models dimensionality reduction feature engineering

Gradient Optimizer Algorithm with Hybrid Deep Learning Based Failure Detection and Classification in the Industrial Environment

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Computer modeling in Engineering & Sciences 2024年第2期138卷 1341-1364页

作者： mohamed Zarouan Ibrahim m.mehedi Shaikh abdul latif md.masud Rana Department of electrical and Computer Engineering(ECE) King Abdulaziz UniversityJeddah21589Saudi Arabia Center of Excellence in Intelligent Engineering Systems(CEIES) King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Nuclear Engineering King Abdulaziz UniversityJeddah21589Saudi Arabia Department of electrical and electronic Engineering Rajshahi University of Engineering and TechnologyRajshahiBangladesh

Failure detection is an essential task in industrial systems for preventing costly downtime and ensuring the seamlessoperation of the system. Current industrial processes are getting smarter with the emergence of Industry ***, various modernized industrial processes have been equipped with quite a few sensors to collectprocess-based data to find faults arising or prevailing in processes along with monitoring the status of *** diagnosis of rotating machines serves a main role in the engineering field and industrial production. Dueto the disadvantages of existing fault, diagnosis approaches, which greatly depend on professional experienceand human knowledge, intellectual fault diagnosis based on deep learning (DL) has attracted the researcher’sinterest. DL reaches the desired fault classification and automatic feature learning. Therefore, this article designs a Gradient Optimizer Algorithm with Hybrid Deep Learning-based Failure Detection and Classification (GOAHDLFDC)in the industrial environment. The presented GOAHDL-FDC technique initially applies continuous wavelettransform (CWT) for preprocessing the actual vibrational signals of the rotating machinery. Next, the residualnetwork (ResNet18) model was exploited for the extraction of features from the vibration signals which are thenfed into theHDLmodel for automated fault detection. Finally, theGOA-based hyperparameter tuning is performedtoadjust the parameter valuesof theHDLmodel *** experimental result analysis of the GOAHDL-FD Calgorithm takes place using a series of simulations and the experimentation outcomes highlight the better resultsof the GOAHDL-FDC technique under different aspects.

关键词： Fault detection Industry 4.0 gradient optimizer algorithm deep learning rotating machineries artificial intelligence

Classical taxonomy,molecular phylogeny and genetic analysis of the genus Exitianus Ball,1929(Hemiptera:Cicadellidae:Deltocephalinae)from Egypt

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Zoological Systematics 2024年第2期49卷 143-157页

作者： Rabab m.el-Hady Ahmed F.el-Sayed Survey&Taxonomy Department Plant Protection Research InstituteAgriculture Research CentreGizaEgypt microbial Genetics Department Biotechnology Research InstituteNational Research CentreGizaEgypt Egypt Center for Research and Regenerative medicine(ECRRm) CairoEgypt

Egyptian species of the leafhopper genus Exitianus Ball,1929,***(St?l,1855),***(Distant,1908),and *** Ross,1968 are ***,morphological descriptions,and a key for their identification are *** this study,we used molecular techniques to confirm morphological identification and detect phylogeny among the three Exitianus *** partial nucleotide sequences of the amplified products obtained were determined by macrogen *** nucleotide sequences of 28S rDNA and COX genes of the EGY-ARC-9,EGY-ARC-4,and EGY-ARC-5 were determined by macrogen Korea,blasted into BLAST at the National Center for Biotechnology Information website(NCBI)and compared with those deposited in the GenBank DNA *** results represented the homology percentage between the partial sequences of the 28S rRNA and COX genes from each species and related species obtained from GenBank DNA *** morphological identifications of the three Exitianus species were confirmed by molecular characterization and sequencing of 28S rDNA and COX genes and identified as ***,***,and ***,their sequences of 28srDNA and COX genes were deposited in GenBank with an accession number(LC670610,LC670607,and OQ196105)for 28srDNA gene and(LC775357,LC775358,and LC775359)for the COX gene.

关键词： Auchenorrhyncha Chaismini taxonomic 28S rDNA phylogenetic

Correlation between Wnt Signalling Inhibitors (Dickkopf-1 & Sclerostin) and the Intimal medial Thickness in Children on maintenance Hemodialysis

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Open Journal of Nephrology 2024年第3期14卷 397-412页

作者： manal abd el-Salam mohamed Hamdi Ali Nadia Youssef Riad Rasha abd el Samad Fawaz Shima mohamed Department of Pediatrics Faculty of Medicine (for Girls) Al-Azhar University Cairo Egypt Tbilisi State medical University Tbilisi Georgia Department of Clinical Pathology National Heart Institute Cairo Egypt Department of Radiology Faculty of Medicine (for Girls) Al-Azhar University Cairo Egypt

Background: Wnt signalling inhibitors (Dickkopf-1 and Sclerostin) signalling play a role in vascular development and may contribute to calcification. Aim: To investigate the association between Dickkopf-1 and sclerostin serum concentrations in children undergoing maintenance hemodialysis with intimal medial thickness and peak systolic velocity of the main arteries. Patients and methods: A study was conducted on 40 children undergoing maintenance hemodialysis and controls of the same age and sex. The study measured the initial medial thickness (ImT) and peak systolic velocity (PSV) of the main vessels (carotid, ulnar, and femoral). Dickkopf-1 and sclerostin serum levels in both groups were assessed, and a routine investigation was performed. Results: The findings indicate that the levels of serum Dickkopf-1 and Sclerostin were significantly higher in the hemodialysis group 2540.65 (2215.4 - 2909.2 pg/ml) and 1.17 (0.85 - 2.03 ng/ml)respectively (P = 0.001), compared to their control group it was 1110.45 (885.45 - 1527.65 pg/ml) and 0.28 (0.25 - 0.32 ng/ml)) respectively P = 0.001. Additionally, there was a significant increase in intima-media thickness (ImT) with a decrease in peak systolic velocity (PSV) in the main blood vessels, including the carotid, ulnar, and femoral arteries. A significant correlation was also observed between Dickkopf-1 and sclerostin levels and ImT of the carotid, ulnar, and femoral arteries. Conclusion: Wnt signalling inhibitors (Dickkopf-1 and Sclerostin) exert effects beyond the bone and significantly contribute to early vascular calcification in pediatric patients undergoing maintenance hemodialysis.

关键词： Wnt Signalling Vascular Calcification Hemodialysis Children

Fuel cell stack design and modelling with a double-stage boost converter coupled to a single-phase inverter

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Clean Energy 2024年第1期8卷 188-196页

作者： Basem E.elnagi Ahmed m.Ismaiel Hany S.E.mansour m.N.abd-Alwahab electrical Engineering Department Faculty of EngineeringSuez Canal UniversityIsmailia 41522Egypt

A comprehensive proton-exchange membrane fuel cell stack model was developed and integrated with a two-stage DC/DC boost *** was directly coupled to a single-phase(two levels-four pulses)inverter without a *** pulse-width modu-lation signal was used to independently regulate every converter *** converter was modelled using a mATLAB®/Simulink®environment and an appropriate voltage control *** analysis features of the suggested circuit were created and,through established experiments,the simulation results were verified.A single-phase(two levels-four pulses)inverter control circuit was tested and it produced a pure sinusoidal waveform with voltage *** matches the voltage of the network in terms of amplitude and frequency.A sinusoidal pulse-width modulation approach was performed using a single-phase(two levels-four pulses)pulse-width modulation *** results demonstrated an enhancement in the standard of the output wave and tuned the dead time with a reduction of 63μs compared with 180μs in conventional techniques.

关键词： PEm fuel cell pulse-width modulation single-phase inverter and double-stage DC/DC boost converter